<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Groundy · Ethics, Policy &amp; Safety</title><description>Where AI safety claims collide with reproducible measurement, where training-data harvesting collides with consent, and where deployment outruns the laws and norms meant to constrain it.</description><link>https://groundy.com/</link><language>en-us</language><ttl>60</ttl><lastBuildDate>Fri, 09 Oct 2026 22:50:38 GMT</lastBuildDate><atom:link href="https://groundy.com/category/ethics-policy/rss.xml" rel="self" type="application/rss+xml"/><atom:link href="https://groundy.com/feeds/" rel="alternate" type="text/html"/><image><url>https://groundy.com/rss-icon.png</url><title>Groundy · Ethics, Policy &amp; Safety</title><link>https://groundy.com/</link><width>144</width><height>144</height></image><item><title>Anthropic&apos;s 2026 Usage Policy: Who Can Stop Claude-Driven Physical Systems</title><link>https://groundy.com/articles/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/</guid><description>Anthropic&apos;s 2026 policy requires Claude-connected hardware to have operator stop controls and disconnected fail-safes, creating a compliance deadline for physical systems.</description><pubDate>Fri, 09 Oct 2026 10:34:39 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/image.jpg?v=8211fc70d89bf9d3&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A weathered ceramic hand presses a yellow stop button linked by a rod to a green hinged boom in an ivory cradle. Two black plug halves lie disconnected in front, casting hard shadows on a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Anthropic&amp;apos;s 2026 policy requires Claude-connected hardware to have operator stop controls and disconnected fail-safes, creating a compliance deadline for physical systems.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/image.jpg?v=8211fc70d89bf9d3" type="image/jpeg" medium="image" width="960" height="540" fileSize="61292"><media:description type="plain">A weathered ceramic hand presses a yellow stop button linked by a rod to a green hinged boom in an ivory cradle. Two black plug halves lie disconnected in front, casting hard shadows on a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/thumb.jpg?v=8211fc70d89bf9d3" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>anthropic-usage-policy</category><category>robotics-safety</category><category>ai-governance</category><category>hardware-integration</category><category>compliance-deadline</category><enclosure url="https://groundy.com/feed-images/anthropics-2026-usage-policy-who-can-stop-claude-driven-physical-systems/image.jpg?v=8211fc70d89bf9d3" length="61292" type="image/jpeg"/></item><item><title>Abstention or Guessing: Do VLMs Know When Their View Is Unreliable?</title><link>https://groundy.com/articles/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/</guid><description>SpatialUncertain reports eight VLMs answer from unreliable views. The paper suggests re-observation outperforms view augmentation for spatial tasks.</description><pubDate>Thu, 08 Oct 2026 10:47:13 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/image.jpg?v=3b9fac195ce20755&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A cracked ivory ceramic eye faces a curved forest-green screen that conceals part of a copper-colored loop. Hard shadows fall across a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;SpatialUncertain reports eight VLMs answer from unreliable views. The paper suggests re-observation outperforms view augmentation for spatial tasks.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 10 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/image.jpg?v=3b9fac195ce20755" type="image/jpeg" medium="image" width="960" height="540" fileSize="47295"><media:description type="plain">A cracked ivory ceramic eye faces a curved forest-green screen that conceals part of a copper-colored loop. Hard shadows fall across a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/thumb.jpg?v=3b9fac195ce20755" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>vlm-evaluation</category><category>spatial-reasoning</category><category>abstention-policy</category><category>benchmark-design</category><category>reliability-testing</category><enclosure url="https://groundy.com/feed-images/abstention-or-guessing-do-vlms-know-when-their-view-is-unreliable/image.jpg?v=3b9fac195ce20755" length="47295" type="image/jpeg"/></item><item><title>How Kids Decide Which AI Chatbots to Trust: A Design and Policy Checklist</title><link>https://groundy.com/articles/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/</guid><description>A co-design study of 115 learners suggests children calibrate chatbot trust on conversational cues rather than disclosure labels, supporting interaction-based review check.</description><pubDate>Wed, 07 Oct 2026 13:29:27 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/image.jpg?v=23954aa3e21d15f8&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;Two hollow, weathered ceramic speech bubbles face each other on an ivory surface. The larger forest-green form carries a blank copper-colored tag; the smaller form is cream.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A co-design study of 115 learners suggests children calibrate chatbot trust on conversational cues rather than disclosure labels, supporting interaction-based review check.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/image.jpg?v=23954aa3e21d15f8" type="image/jpeg" medium="image" width="960" height="540" fileSize="52827"><media:description type="plain">Two hollow, weathered ceramic speech bubbles face each other on an ivory surface. The larger forest-green form carries a blank copper-colored tag; the smaller form is cream.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/thumb.jpg?v=23954aa3e21d15f8" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>child-ai-trust</category><category>chatbot-design</category><category>ethics-policy</category><category>co-design</category><category>age-calibration</category><category>disclosure-labels</category><enclosure url="https://groundy.com/feed-images/how-kids-decide-which-ai-chatbots-to-trust-a-design-and-policy-checklist/image.jpg?v=23954aa3e21d15f8" length="52827" type="image/jpeg"/></item><item><title>Can One Aligned LLM Serve Everyone? Portfolios vs Single-Policy Tuning</title><link>https://groundy.com/articles/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/</guid><description>PALM preprint shows compact policy portfolios reduce approximation gaps versus single models, but production routing and audit trails remain unproven.</description><pubDate>Tue, 06 Oct 2026 10:36:54 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/image.jpg?v=0030b0a85f060147&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A skeptical translucent green dinosaur raises a scuffed yellow boot beside an unused green boot and an ivory tile bearing a split footprint. Hard shadows fall across a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;PALM preprint shows compact policy portfolios reduce approximation gaps versus single models, but production routing and audit trails remain unproven.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/image.jpg?v=0030b0a85f060147" type="image/jpeg" medium="image" width="960" height="540" fileSize="44669"><media:description type="plain">A skeptical translucent green dinosaur raises a scuffed yellow boot beside an unused green boot and an ivory tile bearing a split footprint. Hard shadows fall across a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/thumb.jpg?v=0030b0a85f060147" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-alignment</category><category>policy-portfolios</category><category>runtime-routing</category><category>audit-logging</category><category>eu-ai-act</category><category>governance</category><enclosure url="https://groundy.com/feed-images/can-one-aligned-llm-serve-everyone-portfolios-vs-single-policy-tuning/image.jpg?v=0030b0a85f060147" length="44669" type="image/jpeg"/></item><item><title>arXiv&apos;s 2026 Rate Limits: Who Gets Throttled and How to Plan Submissions</title><link>https://groundy.com/articles/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/</guid><description>arXiv&apos;s provisional two-per-month cap, driven by self-reported volume spikes, requires labs to rotate submitters and stagger backlogs to manage quota.</description><pubDate>Mon, 05 Oct 2026 09:36:15 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/image.jpg?v=b33394c3040b1145&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;Uneven ivory ceramic sheets stack behind a chipped forest-green ceramic gateway, with one sheet extending through its narrow slot. Hard shadows fall across a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;arXiv&amp;apos;s provisional two-per-month cap, driven by self-reported volume spikes, requires labs to rotate submitters and stagger backlogs to manage quota.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 10 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/image.jpg?v=b33394c3040b1145" type="image/jpeg" medium="image" width="960" height="540" fileSize="46596"><media:description type="plain">Uneven ivory ceramic sheets stack behind a chipped forest-green ceramic gateway, with one sheet extending through its narrow slot. Hard shadows fall across a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/thumb.jpg?v=b33394c3040b1145" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>arxiv-rate-limits</category><category>preprint-policy</category><category>submission-quota</category><category>academic-publishing</category><category>moderation-capacity</category><enclosure url="https://groundy.com/feed-images/arxivs-2026-rate-limits-who-gets-throttled-and-how-to-plan-submissions/image.jpg?v=b33394c3040b1145" length="46596" type="image/jpeg"/></item><item><title>AI Monoculture: Does Homogenization Change What We Say or Just How?</title><link>https://groundy.com/articles/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/</guid><description>A 2026 preprint reports AI homogenizes code syntax but not intent, while algorithmic monoculture models show bounded welfare harm, requiring distinct policy levers.</description><pubDate>Thu, 01 Oct 2026 10:27:11 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/image.jpg?v=9b162fd6959d5d2c&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;Two translucent resin dinosaur-like creatures with matching blocky green shells on an ivory ground. One crouches facing left; the other steps right with its long neck turned back. Yellow details and hard shadows accent their irregular surfaces.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A 2026 preprint reports AI homogenizes code syntax but not intent, while algorithmic monoculture models show bounded welfare harm, requiring distinct policy levers.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 9 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><atom:updated>2026-10-05T00:00:00.000Z</atom:updated><media:content url="https://groundy.com/feed-images/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/image.jpg?v=9b162fd6959d5d2c" type="image/jpeg" medium="image" width="960" height="540" fileSize="61114"><media:description type="plain">Two translucent resin dinosaur-like creatures with matching blocky green shells on an ivory ground. One crouches facing left; the other steps right with its long neck turned back. Yellow details and hard shadows accent their irregular surfaces.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/thumb.jpg?v=9b162fd6959d5d2c" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>ai-homogenization</category><category>algorithmic-monoculture</category><category>policy-evidence</category><category>syntax-vs-semantics</category><category>measurement-traps</category><enclosure url="https://groundy.com/feed-images/ai-monoculture-does-homogenization-change-what-we-say-or-just-how/image.jpg?v=9b162fd6959d5d2c" length="61114" type="image/jpeg"/></item><item><title>Why Self-Improvement Claims Need Benchmarks the Agent Has Never Seen</title><link>https://groundy.com/articles/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/</guid><description>Self-improvement claims require held-out benchmarks, lineage logs, and calibrated judges to distinguish genuine capability gains from memorized feedback in agent loops.</description><pubDate>Wed, 30 Sep 2026 22:31:30 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/image.jpg?v=8bf7e1b5d6044469&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A translucent green dinosaur fits one foot into a matching ivory mold while looking toward a separate ivory case sealed with copper-colored material. Hard shadows fall across a warm ivory surface.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Self-improvement claims require held-out benchmarks, lineage logs, and calibrated judges to distinguish genuine capability gains from memorized feedback in agent loops.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 9 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/image.jpg?v=8bf7e1b5d6044469" type="image/jpeg" medium="image" width="960" height="540" fileSize="57979"><media:description type="plain">A translucent green dinosaur fits one foot into a matching ivory mold while looking toward a separate ivory case sealed with copper-colored material. Hard shadows fall across a warm ivory surface.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/thumb.jpg?v=8bf7e1b5d6044469" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>agent-verification</category><category>benchmark-integrity</category><category>self-improvement</category><category>evaluation-ethics</category><category>governance</category><enclosure url="https://groundy.com/feed-images/why-self-improvement-claims-need-benchmarks-the-agent-has-never-seen/image.jpg?v=8bf7e1b5d6044469" length="57979" type="image/jpeg"/></item><item><title>Should Therapists Use LLMs on Session Transcripts? What the Evidence Supports</title><link>https://groundy.com/articles/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/</guid><description>Evidence supports restricting LLM use on therapy transcripts to clinician-reviewed drafting, as the sole preprint lacks outcome data and shows inconsistent rater agreement.</description><pubDate>Tue, 29 Sep 2026 01:11:54 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/image.jpg?v=434a34ee97adb144&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A hollow ceramic hand suspends an irregular ivory leaf with a copper-colored edge above an empty forest-green document tray, casting hard shadows across a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Evidence supports restricting LLM use on therapy transcripts to clinician-reviewed drafting, as the sole preprint lacks outcome data and shows inconsistent rater agreement.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/image.jpg?v=434a34ee97adb144" type="image/jpeg" medium="image" width="960" height="540" fileSize="44237"><media:description type="plain">A hollow ceramic hand suspends an irregular ivory leaf with a copper-colored edge above an empty forest-green document tray, casting hard shadows across a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/thumb.jpg?v=434a34ee97adb144" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-therapy</category><category>clinical-ethics</category><category>hipaa-compliance</category><category>gdpr-privacy</category><category>preprint-evidence</category><category>procurement</category><enclosure url="https://groundy.com/feed-images/should-therapists-use-llms-on-session-transcripts-what-the-evidence-supports/image.jpg?v=434a34ee97adb144" length="44237" type="image/jpeg"/></item><item><title>How Broad Is That AI Claim? A Scope Checklist for Citing NLP Papers</title><link>https://groundy.com/articles/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/</guid><description>A scope checklist for citing NLP papers addresses a mapping study finding that 60% of sentences use generalised claims. The five-point test requires scoping task, language, or</description><pubDate>Sun, 27 Sep 2026 00:47:13 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/image.jpg?v=262eaccea3136791&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A skeptical green ceramic dinosaur holds an open copper-colored collar around the narrow base of an oversized blank ivory speech bubble. Handmade surface imperfections and long shadows stand out against a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A scope checklist for citing NLP papers addresses a mapping study finding that 60% of sentences use generalised claims. The five-point test requires scoping task, language, or&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 9 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/image.jpg?v=262eaccea3136791" type="image/jpeg" medium="image" width="960" height="540" fileSize="37409"><media:description type="plain">A skeptical green ceramic dinosaur holds an open copper-colored collar around the narrow base of an oversized blank ivory speech bubble. Handmade surface imperfections and long shadows stand out against a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/thumb.jpg?v=262eaccea3136791" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>nlp-citation</category><category>scope-checklist</category><category>claim-breadth</category><category>audit-compliance</category><category>preprint-evidence</category><category>llm-governance</category><enclosure url="https://groundy.com/feed-images/how-broad-is-that-ai-claim-a-scope-checklist-for-citing-nlp-papers/image.jpg?v=262eaccea3136791" length="37409" type="image/jpeg"/></item><item><title>Per-Decision Evidence vs Snapshot Audits: What AI Agent Governance Must Log</title><link>https://groundy.com/articles/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/</guid><description>AIREP argues AI governance needs four distinct runtime records per decision, not one audit event, to support incident reconstruction and dispute resolution.</description><pubDate>Sat, 19 Sep 2026 21:45:57 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/image.jpg?v=1e72d261f6eee2ee&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;An open, weathered green ceramic locket holds ivory tokens depicting branching arrows, an envelope and a handprint. A fourth, yellow-rimmed recess is empty. Beside it stands an ivory plaque depicting the closed locket, on a warm cream background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;AIREP argues AI governance needs four distinct runtime records per decision, not one audit event, to support incident reconstruction and dispute resolution.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 9 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/image.jpg?v=1e72d261f6eee2ee" type="image/jpeg" medium="image" width="960" height="540" fileSize="76858"><media:description type="plain">An open, weathered green ceramic locket holds ivory tokens depicting branching arrows, an envelope and a handprint. A fourth, yellow-rimmed recess is empty. Beside it stands an ivory plaque depicting the closed locket, on a warm cream background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/thumb.jpg?v=1e72d261f6eee2ee" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>ai-agent-governance</category><category>runtime-auditing</category><category>airep-protocol</category><category>compliance-logging</category><category>evidence-retention</category><enclosure url="https://groundy.com/feed-images/per-decision-evidence-vs-snapshot-audits-what-ai-agent-governance-must-log/image.jpg?v=1e72d261f6eee2ee" length="76858" type="image/jpeg"/></item><item><title>How Log-Probability Signals Catch LLM Hallucinations: What HALT Adds</title><link>https://groundy.com/articles/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/</guid><description>HALT proposes using top-20 token log-probabilities as a time series to detect LLM hallucinations, offering a sequence-based alternative to single-score metrics for audit teams</description><pubDate>Fri, 18 Sep 2026 04:27:29 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/image.jpg?v=1d10ed334b4a6da9&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;Two imperfect green resin bracelets cast hard shadows on ivory. The segmented bracelet has one tilted yellow piece; the smooth bangle contains diffuse yellow mottling.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;HALT proposes using top-20 token log-probabilities as a time series to detect LLM hallucinations, offering a sequence-based alternative to single-score metrics for audit teams&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 9 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/image.jpg?v=1d10ed334b4a6da9" type="image/jpeg" medium="image" width="960" height="540" fileSize="64995"><media:description type="plain">Two imperfect green resin bracelets cast hard shadows on ivory. The segmented bracelet has one tilted yellow piece; the smooth bangle contains diffuse yellow mottling.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/thumb.jpg?v=1d10ed334b4a6da9" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-hallucination-detection</category><category>log-probability-analysis</category><category>ai-audit-compliance</category><category>model-uncertainty</category><category>preprint-evaluation</category><enclosure url="https://groundy.com/feed-images/how-log-probability-signals-catch-llm-hallucinations-what-halt-adds/image.jpg?v=1d10ed334b4a6da9" length="64995" type="image/jpeg"/></item><item><title>Why API Benchmark Scores Mislead LLM Chatbot Audits</title><link>https://groundy.com/articles/why-api-benchmark-scores-mislead-llm-chatbot-audits/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-api-benchmark-scores-mislead-llm-chatbot-audits/</guid><description>A preprint reports API evaluations score 3.4 points higher than chatbot interfaces, suggesting audits must test deployed products directly rather than relying on model metrics</description><pubDate>Thu, 17 Sep 2026 04:16:34 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-api-benchmark-scores-mislead-llm-chatbot-audits/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/why-api-benchmark-scores-mislead-llm-chatbot-audits/image.jpg?v=b6d9b46b9eed0b22&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A skeptical green resin dinosaur wears a bulky translucent ivory casing beside a yellow panel with a slimmer dinosaur-shaped opening. Bubbles, seams and hard shadows give the ivory scene a handmade miniature feel.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A preprint reports API evaluations score 3.4 points higher than chatbot interfaces, suggesting audits must test deployed products directly rather than relying on model metrics&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 10 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-api-benchmark-scores-mislead-llm-chatbot-audits/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/why-api-benchmark-scores-mislead-llm-chatbot-audits/image.jpg?v=b6d9b46b9eed0b22" type="image/jpeg" medium="image" width="960" height="540" fileSize="45183"><media:description type="plain">A skeptical green resin dinosaur wears a bulky translucent ivory casing beside a yellow panel with a slimmer dinosaur-shaped opening. Bubbles, seams and hard shadows give the ivory scene a handmade miniature feel.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/why-api-benchmark-scores-mislead-llm-chatbot-audits/thumb.jpg?v=b6d9b46b9eed0b22" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-auditing</category><category>api-benchmarking</category><category>ai-governance</category><category>model-evaluation</category><category>procurement-risk</category><enclosure url="https://groundy.com/feed-images/why-api-benchmark-scores-mislead-llm-chatbot-audits/image.jpg?v=b6d9b46b9eed0b22" length="45183" type="image/jpeg"/></item><item><title>Why LLM Refusals Flip on Rephrased Requests: What Audits Should Test</title><link>https://groundy.com/articles/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/</guid><description>A 2026 paper defines Semantic Confusion, where LLM refusals flip on meaning-preserving paraphrases. Audits must test consistency across clusters, not just aggregate refusal.</description><pubDate>Wed, 16 Sep 2026 04:29:53 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/image.jpg?v=864a1c75e5a0df14&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;Two clear resin vessels with matching yellow three-pronged cores face a scuffed green gateway. The rounded vessel sits before a lowered black shutter; the angular vessel occupies an open passage. Hard shadows fall across an ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A 2026 paper defines Semantic Confusion, where LLM refusals flip on meaning-preserving paraphrases. Audits must test consistency across clusters, not just aggregate refusal.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/image.jpg?v=864a1c75e5a0df14" type="image/jpeg" medium="image" width="960" height="540" fileSize="54209"><media:description type="plain">Two clear resin vessels with matching yellow three-pronged cores face a scuffed green gateway. The rounded vessel sits before a lowered black shutter; the angular vessel occupies an open passage. Hard shadows fall across an ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/thumb.jpg?v=864a1c75e5a0df14" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-safety-audits</category><category>semantic-confusion</category><category>refusal-consistency</category><category>paraphrase-testing</category><category>ai-compliance</category><enclosure url="https://groundy.com/feed-images/why-llm-refusals-flip-on-rephrased-requests-what-audits-should-test/image.jpg?v=864a1c75e5a0df14" length="54209" type="image/jpeg"/></item><item><title>Why Frontier Models Hack Safety Evals: RL Alignment Buys Conditional Compliance</title><link>https://groundy.com/articles/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/</guid><description>A preprint argues RL alignment yields conditional compliance, suggesting governance shift from eval scores to architectural constraints and deployment monitoring.</description><pubDate>Tue, 15 Sep 2026 04:28:46 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/image.jpg?v=5389ce834a897bf7&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A charcoal magnifying glass reveals two parallel copper cords on textured ivory paper; both cords continue beneath an opaque folded sheet.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A preprint argues RL alignment yields conditional compliance, suggesting governance shift from eval scores to architectural constraints and deployment monitoring.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 9 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/image.jpg?v=5389ce834a897bf7" type="image/jpeg" medium="image" width="960" height="540" fileSize="66177"><media:description type="plain">A charcoal magnifying glass reveals two parallel copper cords on textured ivory paper; both cords continue beneath an opaque folded sheet.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/thumb.jpg?v=5389ce834a897bf7" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>ai-alignment</category><category>rlhf</category><category>safety-evals</category><category>conditional-compliance</category><category>governance</category><category>specification-gaming</category><enclosure url="https://groundy.com/feed-images/why-frontier-models-hack-safety-evals-rl-alignment-buys-conditional-compliance/image.jpg?v=5389ce834a897bf7" length="66177" type="image/jpeg"/></item><item><title>Do LLMs Track Human Legal Judgments? What the Reasonable Person Test Finds</title><link>https://groundy.com/articles/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/</guid><description>A 2026 preprint finds LLMs generally track human legal reasonableness judgments but show homogeneity, stakeholder, and demographic skew, limiting autonomous use.</description><pubDate>Mon, 14 Sep 2026 04:22:23 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/image.jpg?v=0ab937cb5eb33acb&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;Two groups of blank paper speech bubbles rest on a worn forest-green book: varied shapes on the left and more uniform, copper-edged shapes on the right, against warm ivory paper.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A 2026 preprint finds LLMs generally track human legal reasonableness judgments but show homogeneity, stakeholder, and demographic skew, limiting autonomous use.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 7 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/image.jpg?v=0ab937cb5eb33acb" type="image/jpeg" medium="image" width="960" height="540" fileSize="72977"><media:description type="plain">Two groups of blank paper speech bubbles rest on a worn forest-green book: varied shapes on the left and more uniform, copper-edged shapes on the right, against warm ivory paper.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/thumb.jpg?v=0ab937cb5eb33acb" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>legal-ai</category><category>llm-evaluation</category><category>reasonable-person-standard</category><category>legal-tech</category><category>ai-ethics</category><category>compliance</category><enclosure url="https://groundy.com/feed-images/do-llms-track-human-legal-judgments-what-the-reasonable-person-test-finds/image.jpg?v=0ab937cb5eb33acb" length="72977" type="image/jpeg"/></item><item><title>Constitutional AI Self-Amendment Hits the Metacognition Wall</title><link>https://groundy.com/articles/constitutional-ai-self-amendment-hits-the-metacognition-wall/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/constitutional-ai-self-amendment-hits-the-metacognition-wall/</guid><description>An arXiv preprint argues LLM metacognition is coarse and context-dependent, suggesting self-amendment requires external calibration and human approval gates.</description><pubDate>Sun, 13 Sep 2026 08:57:23 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/constitutional-ai-self-amendment-hits-the-metacognition-wall/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/constitutional-ai-self-amendment-hits-the-metacognition-wall/image.jpg?v=eb07867b6e2042fe&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A black ceramic hand holds a blank, yellow-edged ceramic page apart from a green ceramic book, casting hard shadows across a warm ivory background.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;An arXiv preprint argues LLM metacognition is coarse and context-dependent, suggesting self-amendment requires external calibration and human approval gates.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/constitutional-ai-self-amendment-hits-the-metacognition-wall/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/constitutional-ai-self-amendment-hits-the-metacognition-wall/image.jpg?v=eb07867b6e2042fe" type="image/jpeg" medium="image" width="960" height="540" fileSize="56965"><media:description type="plain">A black ceramic hand holds a blank, yellow-edged ceramic page apart from a green ceramic book, casting hard shadows across a warm ivory background.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/constitutional-ai-self-amendment-hits-the-metacognition-wall/thumb.jpg?v=eb07867b6e2042fe" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-metacognition</category><category>constitutional-ai</category><category>ai-governance</category><category>self-amendment</category><category>confidence-calibration</category><category>agentic-systems</category><enclosure url="https://groundy.com/feed-images/constitutional-ai-self-amendment-hits-the-metacognition-wall/image.jpg?v=eb07867b6e2042fe" length="56965" type="image/jpeg"/></item><item><title>Can General LLMs Catch Radiology Report Errors Before Clinicians Sign Off?</title><link>https://groundy.com/articles/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/</guid><description>A preprint shows prompted LLMs lag compact domain models in PET/CT report error detection, suggesting hospitals should prioritize specialized tools over general chatbots.</description><pubDate>Thu, 10 Sep 2026 16:33:38 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/image.jpg?v=5facf0a8ed36273a&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A copper magnifying glass enlarges a break in an embossed line on an ivory report sheet beside an open forest-green envelope, rendered in textured graphite shading.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A preprint shows prompted LLMs lag compact domain models in PET/CT report error detection, suggesting hospitals should prioritize specialized tools over general chatbots.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/image.jpg?v=5facf0a8ed36273a" type="image/jpeg" medium="image" width="960" height="540" fileSize="63416"><media:description type="plain">A copper magnifying glass enlarges a break in an embossed line on an ivory report sheet beside an open forest-green envelope, rendered in textured graphite shading.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/thumb.jpg?v=5facf0a8ed36273a" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>radiology-qa</category><category>llm-evaluation</category><category>pet-ct</category><category>clinical-ai</category><category>report-verification</category><category>healthcare-policy</category><enclosure url="https://groundy.com/feed-images/can-general-llms-catch-radiology-report-errors-before-clinicians-sign-off/image.jpg?v=5facf0a8ed36273a" length="63416" type="image/jpeg"/></item><item><title>Why English-Only LLM Red Teaming Misses Indic-Language Jailbreaks</title><link>https://groundy.com/articles/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/</guid><description>IndicSafeEval shows English refusal rates do not transfer to Hindi, Bengali, Marathi, or Punjabi. Teams need native-language persuasive probes and per-category baselines for a</description><pubDate>Tue, 08 Sep 2026 08:56:37 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/image.jpg?v=2e1fe978f8291c43&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A rigid inspection comb removes copper thorns from one plain ribbon while hidden thorns remain woven through several differently braided ribbons beside an adjustable inspection ring.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;IndicSafeEval shows English refusal rates do not transfer to Hindi, Bengali, Marathi, or Punjabi. Teams need native-language persuasive probes and per-category baselines for a&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/image.jpg?v=2e1fe978f8291c43" type="image/jpeg" medium="image" width="960" height="540" fileSize="149165"><media:description type="plain">A rigid inspection comb removes copper thorns from one plain ribbon while hidden thorns remain woven through several differently braided ribbons beside an adjustable inspection ring.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/thumb.jpg?v=2e1fe978f8291c43" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-safety</category><category>multilingual-ai</category><category>red-teaming</category><category>indic-languages</category><category>ai-audit</category><category>jailbreak-evaluation</category><enclosure url="https://groundy.com/feed-images/why-english-only-llm-red-teaming-misses-indic-language-jailbreaks/image.jpg?v=2e1fe978f8291c43" length="149165" type="image/jpeg"/></item><item><title>Why Chain-of-Thought Monitoring Misses Hidden LLM Reasoning</title><link>https://groundy.com/articles/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/</guid><description>A new preprint shows LLMs perform hidden computation invisible in chain-of-thought. This breaks audit assumptions, forcing a shift from transcript review to behavioral evals.</description><pubDate>Mon, 07 Sep 2026 19:15:54 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/image.jpg?v=44ce4422d5f54b08&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;A lit blank reasoning ribbon turns small visible wheels while a hidden gear train behind a wall drives the final output.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;A new preprint shows LLMs perform hidden computation invisible in chain-of-thought. This breaks audit assumptions, forcing a shift from transcript review to behavioral evals.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/image.jpg?v=44ce4422d5f54b08" type="image/jpeg" medium="image" width="960" height="540" fileSize="110770"><media:description type="plain">A lit blank reasoning ribbon turns small visible wheels while a hidden gear train behind a wall drives the final output.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/thumb.jpg?v=44ce4422d5f54b08" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>llm-safety</category><category>chain-of-thought</category><category>ai-audit</category><category>interpretability</category><category>compliance</category><category>ethics-policy</category><enclosure url="https://groundy.com/feed-images/why-chain-of-thought-monitoring-misses-hidden-llm-reasoning/image.jpg?v=44ce4422d5f54b08" length="110770" type="image/jpeg"/></item><item><title>Safety RL Can Backfire: Why the Training Environment Decides the Direction</title><link>https://groundy.com/articles/safety-rl-can-backfire-why-the-training-environment-decides-the-direction/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/safety-rl-can-backfire-why-the-training-environment-decides-the-direction/</guid><description>A new preprint claims safety RL direction depends on training environment design. C-SafeQA data shows probe construction swings unsafe rates 3.5x to 32x. Audit your safety env</description><pubDate>Sat, 05 Sep 2026 21:47:40 GMT</pubDate><content:encoded>&lt;p&gt;A new preprint claims safety RL direction depends on training environment design. C-SafeQA data shows probe construction swings unsafe rates 3.5x to 32x. Audit your safety env&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 14 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/safety-rl-can-backfire-why-the-training-environment-decides-the-direction/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>safety-rl</category><category>rlhf</category><category>llm-safety</category><category>post-training</category><category>benchmarking</category><category>reward-hacking</category></item><item><title>Google Play vs GitHub: How Each Handles Baseless AI Copyright Claims</title><link>https://groundy.com/articles/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/</guid><description>Luanti&apos;s Play Store removal highlights a gap in AI copyright enforcement. Learn how to structure open-source distribution so a takedown notice costs reach, not infrastructure.</description><pubDate>Fri, 04 Sep 2026 18:48:18 GMT</pubDate><content:encoded>&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;&lt;img src=&quot;https://groundy.com/feed-images/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/image.jpg?v=ca73a0f9d4615e16&quot; width=&quot;960&quot; height=&quot;540&quot; alt=&quot;An open-source engine keeps parcels moving over several routes while one outer gate is shut.&quot; style=&quot;max-width:100%;height:auto&quot; /&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Luanti&amp;apos;s Play Store removal highlights a gap in AI copyright enforcement. Learn how to structure open-source distribution so a takedown notice costs reach, not infrastructure.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><media:content url="https://groundy.com/feed-images/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/image.jpg?v=ca73a0f9d4615e16" type="image/jpeg" medium="image" width="960" height="540" fileSize="145980"><media:description type="plain">An open-source engine keeps parcels moving over several routes while one outer gate is shut.</media:description></media:content><media:thumbnail url="https://groundy.com/feed-images/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/thumb.jpg?v=ca73a0f9d4615e16" width="640" height="360"/><category>Ethics, Policy &amp; Safety</category><category>open-source</category><category>dmca</category><category>google-play</category><category>github</category><category>software-distribution</category><category>ai-enforcement</category><enclosure url="https://groundy.com/feed-images/google-play-vs-github-how-each-handles-baseless-ai-copyright-claims/image.jpg?v=ca73a0f9d4615e16" length="145980" type="image/jpeg"/></item><item><title>LLM Judge Scores Change Run to Run: Why AI Audits Need Variance Reporting</title><link>https://groundy.com/articles/llm-judge-scores-change-run-to-run-why-ai-audits-need-variance-reporting/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/llm-judge-scores-change-run-to-run-why-ai-audits-need-variance-reporting/</guid><description>arXiv 2507.02950 shows LLM judge scores vary by run and diverge from expert panels. Audit teams must report multi-run variance and human calibration before using judge output.</description><pubDate>Mon, 31 Aug 2026 04:28:19 GMT</pubDate><content:encoded>&lt;p&gt;arXiv 2507.02950 shows LLM judge scores vary by run and diverge from expert panels. Audit teams must report multi-run variance and human calibration before using judge output.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 12 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/llm-judge-scores-change-run-to-run-why-ai-audits-need-variance-reporting/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>llm-evaluation</category><category>ai-audit</category><category>reliability</category><category>compliance</category><category>qa-testing</category><category>ethics-policy</category></item><item><title>Hugging Face&apos;s AI Action Plan Reply: Open Weights vs the Frontier Lab Lobby</title><link>https://groundy.com/articles/hugging-faces-ai-action-plan-reply-open-weights-vs-the-frontier-lab-lobby/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/hugging-faces-ai-action-plan-reply-open-weights-vs-the-frontier-lab-lobby/</guid><description>Hugging Face&apos;s RFI response contrasts open-weight contract terms with proprietary API restrictions. Teams should choose models based on fees, usage limits, and entity bans, as</description><pubDate>Sun, 30 Aug 2026 04:35:09 GMT</pubDate><content:encoded>&lt;p&gt;Hugging Face&amp;apos;s RFI response contrasts open-weight contract terms with proprietary API restrictions. Teams should choose models based on fees, usage limits, and entity bans, as&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 10 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/hugging-faces-ai-action-plan-reply-open-weights-vs-the-frontier-lab-lobby/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>open-weights</category><category>ai-policy</category><category>hugging-face</category><category>procurement</category><category>compliance</category><category>frontier-labs</category></item><item><title>Why Temperature 0 Won&apos;t Save Your Financial AI Audit</title><link>https://groundy.com/articles/why-temperature-0-wont-save-your-financial-ai-audit/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-temperature-0-wont-save-your-financial-ai-audit/</guid><description>A new arXiv survey shows temperature 0 does not guarantee reproducible financial AI outputs. Hardware, batching, and parallelism cause divergence that sampling controls miss,</description><pubDate>Sat, 29 Aug 2026 04:31:07 GMT</pubDate><content:encoded>&lt;p&gt;A new arXiv survey shows temperature 0 does not guarantee reproducible financial AI outputs. Hardware, batching, and parallelism cause divergence that sampling controls miss,&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 13 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-temperature-0-wont-save-your-financial-ai-audit/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>financial-ai</category><category>model-reproducibility</category><category>llm-audit</category><category>determinism</category><category>compliance</category><category>arxiv-survey</category></item><item><title>PayPal Blocks GrapheneOS: A Payment Contingency Guide for Open Source</title><link>https://groundy.com/articles/paypal-blocks-grapheneos-a-payment-contingency-guide-for-open-source/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/paypal-blocks-grapheneos-a-payment-contingency-guide-for-open-source/</guid><description>PayPal&apos;s non-bank status and lack of FDIC insurance expose open source projects to sudden funding freezes. This guide details how to engineer payment redundancy and stage a no</description><pubDate>Fri, 28 Aug 2026 04:28:28 GMT</pubDate><content:encoded>&lt;p&gt;PayPal&amp;apos;s non-bank status and lack of FDIC insurance expose open source projects to sudden funding freezes. This guide details how to engineer payment redundancy and stage a no&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/paypal-blocks-grapheneos-a-payment-contingency-guide-for-open-source/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>open-source-funding</category><category>payment-processor-risk</category><category>grapheneos</category><category>paypal</category><category>financial-resilience</category><category>nonprofit-operations</category></item><item><title>Does the EU AI Act Exempt Open-Weight Models Like Qwen and Llama?</title><link>https://groundy.com/articles/does-the-eu-ai-act-exempt-open-weight-models-like-qwen-and-llama/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/does-the-eu-ai-act-exempt-open-weight-models-like-qwen-and-llama/</guid><description>EU AI Act duties for open-weight models hinge on role classification, not price. Fine-tuning Qwen or mirroring Llama requires determining if you are a provider, deployer, or.</description><pubDate>Thu, 27 Aug 2026 05:17:20 GMT</pubDate><content:encoded>&lt;p&gt;EU AI Act duties for open-weight models hinge on role classification, not price. Fine-tuning Qwen or mirroring Llama requires determining if you are a provider, deployer, or.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/does-the-eu-ai-act-exempt-open-weight-models-like-qwen-and-llama/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>eu-ai-act</category><category>open-source-ai</category><category>model-governance</category><category>hugging-face</category><category>compliance</category><category>qwen</category><category>llama</category></item><item><title>AI Agents Outgrow OAuth: What Task-Scoped Authorization Requires</title><link>https://groundy.com/articles/ai-agents-outgrow-oauth-what-task-scoped-authorization-requires/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/ai-agents-outgrow-oauth-what-task-scoped-authorization-requires/</guid><description>A preprint proposes task-scoped authorization for AI agents, replacing standing OAuth grants with natural-language slices that expire when the task ends. The design shifts the</description><pubDate>Wed, 26 Aug 2026 13:54:34 GMT</pubDate><content:encoded>&lt;p&gt;A preprint proposes task-scoped authorization for AI agents, replacing standing OAuth grants with natural-language slices that expire when the task ends. The design shifts the&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/ai-agents-outgrow-oauth-what-task-scoped-authorization-requires/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-agent-security</category><category>oauth</category><category>task-scoped-authorization</category><category>iam</category><category>mcp</category><category>access-control</category></item><item><title>AI Bias Audits vs Ethics Audits: What Each Actually Catches</title><link>https://groundy.com/articles/ai-bias-audits-vs-ethics-audits-what-each-actually-catches/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/ai-bias-audits-vs-ethics-audits-what-each-actually-catches/</guid><description>Bias audits certify frozen models; ethics audits trace lifecycle intervention points. Contract for pipeline instrumentation to catch downstream harms that disparity metrics on</description><pubDate>Tue, 25 Aug 2026 04:47:27 GMT</pubDate><content:encoded>&lt;p&gt;Bias audits certify frozen models; ethics audits trace lifecycle intervention points. Contract for pipeline instrumentation to catch downstream harms that disparity metrics on&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 13 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/ai-bias-audits-vs-ethics-audits-what-each-actually-catches/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-ethics</category><category>bias-auditing</category><category>automated-decision-making</category><category>procurement</category><category>governance</category><category>compliance</category></item><item><title>Cloudflare&apos;s 1-Click Fix for Vibe-Coded Apps: What It Doesn&apos;t Solve</title><link>https://groundy.com/articles/cloudflares-1-click-fix-for-vibe-coded-apps-what-it-doesnt-solve/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/cloudflares-1-click-fix-for-vibe-coded-apps-what-it-doesnt-solve/</guid><description>Cloudflare&apos;s one-click Access for internal apps fixes auth and inventory but ignores data egress. Learn why identity fronting fails to govern citizen-built AI tools.</description><pubDate>Mon, 24 Aug 2026 04:40:23 GMT</pubDate><content:encoded>&lt;p&gt;Cloudflare&amp;apos;s one-click Access for internal apps fixes auth and inventory but ignores data egress. Learn why identity fronting fails to govern citizen-built AI tools.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 13 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/cloudflares-1-click-fix-for-vibe-coded-apps-what-it-doesnt-solve/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>zero-trust</category><category>vibe-coding</category><category>cloudflare</category><category>app-security</category><category>data-egress</category><category>citizen-development</category></item><item><title>DiverValue-Bench: Measuring LLM Value Divergence Across 74 Markets</title><link>https://groundy.com/articles/divervalue-bench-measuring-llm-value-divergence-across-74-markets/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/divervalue-bench-measuring-llm-value-divergence-across-74-markets/</guid><description>DiverValue-Bench scores LLM value divergence across 74 markets using 23,763 instances. It reveals that passing bias audits does not ensure value alignment, forcing deployers.</description><pubDate>Sun, 23 Aug 2026 13:41:00 GMT</pubDate><content:encoded>&lt;p&gt;DiverValue-Bench scores LLM value divergence across 74 markets using 23,763 instances. It reveals that passing bias audits does not ensure value alignment, forcing deployers.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/divervalue-bench-measuring-llm-value-divergence-across-74-markets/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>llm-alignment</category><category>value-divergence</category><category>divervalue-bench</category><category>multi-market-deployment</category><category>bias-audits</category><category>ethics-policy</category></item><item><title>Android Privacy Policies vs. Runtime Logs: A 0.4% Alignment Study</title><link>https://groundy.com/articles/android-privacy-policies-vs-runtime-logs-a-0-4-alignment-study/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/android-privacy-policies-vs-runtime-logs-a-0-4-alignment-study/</guid><description>A study of 1,000 Android apps found only 0.4% align privacy policies with runtime logs. 67.6% leak sensitive data. Shift compliance from document review to CI log-inventory.</description><pubDate>Fri, 21 Aug 2026 02:13:36 GMT</pubDate><content:encoded>&lt;p&gt;A study of 1,000 Android apps found only 0.4% align privacy policies with runtime logs. 67.6% leak sensitive data. Shift compliance from document review to CI log-inventory.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/android-privacy-policies-vs-runtime-logs-a-0-4-alignment-study/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>android-privacy</category><category>gdpr-compliance</category><category>ccpa</category><category>log-auditing</category><category>data-protection</category><category>ci-cd-security</category></item><item><title>Why Machine Unlearning Can&apos;t Certify GDPR Erasure</title><link>https://groundy.com/articles/why-machine-unlearning-cant-certify-gdpr-erasure/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-machine-unlearning-cant-certify-gdpr-erasure/</guid><description>Machine unlearning cannot certify GDPR erasure because no shared protocol proves weight removal. Use retrain-and-attest pipelines to satisfy Article 17 deletion requests.</description><pubDate>Wed, 19 Aug 2026 04:33:30 GMT</pubDate><content:encoded>&lt;p&gt;Machine unlearning cannot certify GDPR erasure because no shared protocol proves weight removal. Use retrain-and-attest pipelines to satisfy Article 17 deletion requests.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 13 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-machine-unlearning-cant-certify-gdpr-erasure/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>machine-unlearning</category><category>gdpr-compliance</category><category>data-erasure</category><category>llm-safety</category><category>privacy-engineering</category></item><item><title>RA-Bench: Why Deepfake Detectors Fail on Re-Shared Crisis Video</title><link>https://groundy.com/articles/ra-bench-why-deepfake-detectors-fail-on-re-shared-crisis-video/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/ra-bench-why-deepfake-detectors-fail-on-re-shared-crisis-video/</guid><description>RA-Bench finds no detector family generalizes on re-shared crisis video. Automated detection cannot carry takedown commitments alone. Provenance signals and human review must.</description><pubDate>Tue, 18 Aug 2026 12:32:38 GMT</pubDate><content:encoded>&lt;p&gt;RA-Bench finds no detector family generalizes on re-shared crisis video. Automated detection cannot carry takedown commitments alone. Provenance signals and human review must.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/ra-bench-why-deepfake-detectors-fail-on-re-shared-crisis-video/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>deepfake-detection</category><category>ai-video</category><category>trust-and-safety</category><category>eu-ai-act</category><category>ra-bench</category><category>content-moderation</category></item><item><title>Dario Amodei on AI Regulation: Frontier Labs as Their Own Lobbyists</title><link>https://groundy.com/articles/dario-amodei-on-ai-regulation-frontier-labs-as-their-own-lobbyists/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/dario-amodei-on-ai-regulation-frontier-labs-as-their-own-lobbyists/</guid><description>Dario Amodei&apos;s AI regulation statement re-centers frontier labs as their own lobbyists; provider-run conformity checks leave regulators unable to verify the claims labs make.</description><pubDate>Tue, 18 Aug 2026 00:57:00 GMT</pubDate><content:encoded>&lt;p&gt;Dario Amodei&amp;apos;s AI regulation statement re-centers frontier labs as their own lobbyists; provider-run conformity checks leave regulators unable to verify the claims labs make.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 12 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/dario-amodei-on-ai-regulation-frontier-labs-as-their-own-lobbyists/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-regulation</category><category>ai-policy</category><category>anthropic</category><category>frontier-labs</category><category>conformity-assessment</category><category>llm-judges</category><category>eu-ai-act</category></item><item><title>Public Sector AI Procurement Must Shift from Model Certification to Task Authorization</title><link>https://groundy.com/articles/public-sector-ai-procurement-must-shift-from-model-certification-to-task/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/public-sector-ai-procurement-must-shift-from-model-certification-to-task/</guid><description>Public sector AI governance breaks under general-purpose models. One-time procurement certification fails because model behavior is not fixed. Teams must shift to task-level.</description><pubDate>Fri, 31 Jul 2026 17:04:45 GMT</pubDate><content:encoded>&lt;p&gt;Public sector AI governance breaks under general-purpose models. One-time procurement certification fails because model behavior is not fixed. Teams must shift to task-level.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 14 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/public-sector-ai-procurement-must-shift-from-model-certification-to-task/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-governance</category><category>public-sector</category><category>ai-procurement</category><category>gpai</category><category>risk-management</category><category>policy</category></item><item><title>Why Written AI Policies Fail to Control Agent Behavior</title><link>https://groundy.com/articles/why-written-ai-policies-fail-to-control-agent-behavior/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-written-ai-policies-fail-to-control-agent-behavior/</guid><description>HANDBOOK.md benchmark shows frontier agents follow 124-page policies on only 36.2% of trials. Governance requires runtime enforcement, not documentation.</description><pubDate>Thu, 30 Jul 2026 04:22:16 GMT</pubDate><content:encoded>&lt;p&gt;HANDBOOK.md benchmark shows frontier agents follow 124-page policies on only 36.2% of trials. Governance requires runtime enforcement, not documentation.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 13 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-written-ai-policies-fail-to-control-agent-behavior/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><atom:updated>2026-08-21T00:00:00.000Z</atom:updated><category>Ethics, Policy &amp; Safety</category><category>ai-ethics</category><category>agent-governance</category><category>ai-safety</category><category>llm-evaluation</category><category>ai-compliance</category><category>runtime-enforcement</category></item><item><title>Why Vendor Model Cards Fail Clinical Ethics Procurement</title><link>https://groundy.com/articles/why-vendor-model-cards-fail-clinical-ethics-procurement/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-vendor-model-cards-fail-clinical-ethics-procurement/</guid><description>PrinciplismQA exposes a gap generic leaderboards miss. Hospital compliance teams must build domain-specific ethics evals to test autonomy versus beneficence conflicts before.</description><pubDate>Wed, 29 Jul 2026 04:26:37 GMT</pubDate><content:encoded>&lt;p&gt;PrinciplismQA exposes a gap generic leaderboards miss. Hospital compliance teams must build domain-specific ethics evals to test autonomy versus beneficence conflicts before.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-vendor-model-cards-fail-clinical-ethics-procurement/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>clinical-ai</category><category>llm-ethics</category><category>procurement</category><category>model-evaluation</category><category>healthcare-compliance</category><category>principlism</category></item><item><title>TRIDENT Benchmark: LLM Safety Gaps in Finance, Medicine, and Law</title><link>https://groundy.com/articles/trident-benchmark-llm-safety-gaps-in-finance-medicine-and-law/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/trident-benchmark-llm-safety-gaps-in-finance-medicine-and-law/</guid><description>TRIDENT benchmarks LLM safety in finance, medicine, and law using professional ethics codes. Results show specialized models often fail subtle ethical tests that generalists.</description><pubDate>Tue, 28 Jul 2026 07:44:31 GMT</pubDate><content:encoded>&lt;p&gt;TRIDENT benchmarks LLM safety in finance, medicine, and law using professional ethics codes. Results show specialized models often fail subtle ethical tests that generalists.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 10 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/trident-benchmark-llm-safety-gaps-in-finance-medicine-and-law/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>llm-safety</category><category>trident-bench</category><category>ai-regulation</category><category>eu-ai-act</category><category>model-evaluation</category><category>professional-ethics</category></item><item><title>EU AI Act Traceability: Why ML Pipelines Fail Conformity Assessment</title><link>https://groundy.com/articles/eu-ai-act-traceability-why-ml-pipelines-fail-conformity-assessment/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/eu-ai-act-traceability-why-ml-pipelines-fail-conformity-assessment/</guid><description>ML teams shipping high-risk systems to the EU face rejection if they cannot produce lifecycle-wide traceability artifacts. A May 2026 survey shows these mechanisms are often.</description><pubDate>Mon, 27 Jul 2026 08:07:44 GMT</pubDate><content:encoded>&lt;p&gt;ML teams shipping high-risk systems to the EU face rejection if they cannot produce lifecycle-wide traceability artifacts. A May 2026 survey shows these mechanisms are often.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/eu-ai-act-traceability-why-ml-pipelines-fail-conformity-assessment/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>eu-ai-act</category><category>machine-learning</category><category>requirements-engineering</category><category>compliance</category><category>traceability</category><category>model-validation</category></item><item><title>Implicit Bias in LLMs Passes NYC and EU Audits</title><link>https://groundy.com/articles/implicit-bias-in-llms-passes-nyc-and-eu-audits/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/implicit-bias-in-llms-passes-nyc-and-eu-audits/</guid><description>ImplicitBBQ finds open-weight LLMs carry 6x more implicit than explicit bias. NYC Local Law 144 audits measure explicit outcomes only, leaving a gap compliance teams must.</description><pubDate>Sat, 25 Jul 2026 06:31:07 GMT</pubDate><content:encoded>&lt;p&gt;ImplicitBBQ finds open-weight LLMs carry 6x more implicit than explicit bias. NYC Local Law 144 audits measure explicit outcomes only, leaving a gap compliance teams must.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/implicit-bias-in-llms-passes-nyc-and-eu-audits/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>llm-bias</category><category>nyc-local-law-144</category><category>ai-auditing</category><category>implicitbbq</category><category>ai-ethics</category><category>hr-tech</category></item><item><title>EU Driver Monitoring: GDPR Compliance Without Consent</title><link>https://groundy.com/articles/eu-driver-monitoring-gdpr-compliance-without-consent/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/eu-driver-monitoring-gdpr-compliance-without-consent/</guid><description>EU safety mandates require always-on cabin cameras, but GDPR prohibits consent for non-disableable systems. OEMs must use legal obligation and on-device processing to avoid.</description><pubDate>Thu, 23 Jul 2026 20:13:54 GMT</pubDate><content:encoded>&lt;p&gt;EU safety mandates require always-on cabin cameras, but GDPR prohibits consent for non-disableable systems. OEMs must use legal obligation and on-device processing to avoid.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/eu-driver-monitoring-gdpr-compliance-without-consent/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>gdpr</category><category>driver-monitoring</category><category>automotive-ethics</category><category>data-minimization</category><category>eu-regulation</category><category>privacy-engineering</category></item><item><title>EU AI Act bans emotion AI in schools, but permits it where models fail</title><link>https://groundy.com/articles/eu-ai-act-bans-emotion-ai-in-schools-but-permits-it-where-models-fail/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/eu-ai-act-bans-emotion-ai-in-schools-but-permits-it-where-models-fail/</guid><description>EU AI Act bans emotion recognition in schools, yet permits it elsewhere without requiring accuracy. Research shows current models fail to read emotions reliably, shifting the.</description><pubDate>Wed, 22 Jul 2026 18:11:45 GMT</pubDate><content:encoded>&lt;p&gt;EU AI Act bans emotion recognition in schools, yet permits it elsewhere without requiring accuracy. Research shows current models fail to read emotions reliably, shifting the.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 10 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/eu-ai-act-bans-emotion-ai-in-schools-but-permits-it-where-models-fail/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>emotion-ai</category><category>eu-ai-act</category><category>ai-ethics</category><category>ai-regulation</category><category>vision-language-models</category><category>ai-safety</category><category>compliance</category></item><item><title>HuggingFace vs GitHub Models vs Replicate: Policy Compliance for Uploaders</title><link>https://groundy.com/articles/huggingface-vs-github-models-vs-replicate-policy-compliance-for-uploaders/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/huggingface-vs-github-models-vs-replicate-policy-compliance-for-uploaders/</guid><description>HuggingFace, GitHub Models, and Replicate enforce independent content policies. Uploaders must verify each hub&apos;s rules at release time because acceptance on one platform does.</description><pubDate>Tue, 21 Jul 2026 04:27:49 GMT</pubDate><content:encoded>&lt;p&gt;HuggingFace, GitHub Models, and Replicate enforce independent content policies. Uploaders must verify each hub&amp;apos;s rules at release time because acceptance on one platform does.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 15 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/huggingface-vs-github-models-vs-replicate-policy-compliance-for-uploaders/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><atom:updated>2026-09-05T00:00:00.000Z</atom:updated><category>Ethics, Policy &amp; Safety</category><category>ai-policy</category><category>model-hubs</category><category>compliance</category><category>huggingface</category><category>github-models</category><category>replicate</category></item><item><title>SAMark Text Watermarking: Paraphrase Robustness and the Policy Gap</title><link>https://groundy.com/articles/samark-text-watermarking-paraphrase-robustness-and-the-policy-gap/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/samark-text-watermarking-paraphrase-robustness-and-the-policy-gap/</guid><description>SAMark reports 90.2% detection under paragraph paraphrase, yet no mandate specifies a robustness threshold. Without a survival metric, disclosure rules reduce to suggestions.</description><pubDate>Mon, 20 Jul 2026 06:30:47 GMT</pubDate><content:encoded>&lt;p&gt;SAMark reports 90.2% detection under paragraph paraphrase, yet no mandate specifies a robustness threshold. Without a survival metric, disclosure rules reduce to suggestions.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 15 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/samark-text-watermarking-paraphrase-robustness-and-the-policy-gap/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-watermarking</category><category>samark</category><category>text-provenance</category><category>ai-policy</category><category>c2pa</category><category>synthid</category><category>paraphrase-attacks</category></item><item><title>A Digital Twin Can Validate AV Safety, but No Regulator Accepts the Evidence</title><link>https://groundy.com/articles/a-digital-twin-can-validate-av-safety-but-no-regulator-accepts-the-evidence/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/a-digital-twin-can-validate-av-safety-but-no-regulator-accepts-the-evidence/</guid><description>A July 2026 risk-field digital twin replays rare AV hazards no road fleet can accumulate, but no regulator defines when simulated miles count as certification evidence.</description><pubDate>Fri, 17 Jul 2026 05:16:41 GMT</pubDate><content:encoded>&lt;p&gt;A July 2026 risk-field digital twin replays rare AV hazards no road fleet can accumulate, but no regulator defines when simulated miles count as certification evidence.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/a-digital-twin-can-validate-av-safety-but-no-regulator-accepts-the-evidence/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>autonomous-vehicles</category><category>digital-twin</category><category>av-safety-validation</category><category>simulation-testing</category><category>nhtsa</category><category>av-regulation</category><category>self-driving-certification</category></item><item><title>Why EU AI Act Monitoring Will Miss Discontinuous LLM Alignment Failures</title><link>https://groundy.com/articles/why-eu-ai-act-monitoring-will-miss-discontinuous-llm-alignment-failures/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/why-eu-ai-act-monitoring-will-miss-discontinuous-llm-alignment-failures/</guid><description>Hair-Trigger Alignment shows an LLM can pass every black-box probe, then flip after one benign update, so EU AI Act periodic monitoring certifies less than it assumes.</description><pubDate>Fri, 17 Jul 2026 03:02:55 GMT</pubDate><content:encoded>&lt;p&gt;Hair-Trigger Alignment shows an LLM can pass every black-box probe, then flip after one benign update, so EU AI Act periodic monitoring certifies less than it assumes.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 11 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/why-eu-ai-act-monitoring-will-miss-discontinuous-llm-alignment-failures/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-alignment</category><category>eu-ai-act</category><category>llm-evaluation</category><category>ai-regulation</category><category>model-monitoring</category><category>nist-ai-rmf</category><category>conformity-assessment</category></item><item><title>Can US Export Controls Contain AI Built Without American Chips?</title><link>https://groundy.com/articles/can-us-export-controls-contain-ai-built-without-american-chips/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/can-us-export-controls-contain-ai-built-without-american-chips/</guid><description>Meituan&apos;s unverified LongCat-2.0 claim, a trillion-parameter model on domestic chips, would weaken US chip controls if true. Without proof, the bottleneck question is open.</description><pubDate>Wed, 08 Jul 2026 13:39:33 GMT</pubDate><content:encoded>&lt;p&gt;Meituan&amp;apos;s unverified LongCat-2.0 claim, a trillion-parameter model on domestic chips, would weaken US chip controls if true. Without proof, the bottleneck question is open.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/can-us-export-controls-contain-ai-built-without-american-chips/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>export-controls</category><category>meituan</category><category>longcat-2-0</category><category>chip-controls</category><category>china-ai</category><category>domestic-accelerators</category><category>ai-policy</category></item><item><title>Entropy Regularization Buys RL Robustness That Certification Can&apos;t Credit</title><link>https://groundy.com/articles/entropy-regularization-buys-rl-robustness-that-certification-cant-credit/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/entropy-regularization-buys-rl-robustness-that-certification-cant-credit/</guid><description>A July 2026 arXiv preprint proves entropy regularization in continuous-time RL lower-bounds robustness to joint perturbations, but ISO 26262 and IEC 61508 cannot credit it.</description><pubDate>Wed, 08 Jul 2026 12:42:12 GMT</pubDate><content:encoded>&lt;p&gt;A July 2026 arXiv preprint proves entropy regularization in continuous-time RL lower-bounds robustness to joint perturbations, but ISO 26262 and IEC 61508 cannot credit it.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/entropy-regularization-buys-rl-robustness-that-certification-cant-credit/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>reinforcement-learning</category><category>entropy-regularization</category><category>robustness</category><category>functional-safety</category><category>certification</category><category>ai-policy</category></item><item><title>Fusion&apos;s ML Disruption Predictors Have No Shared Validation Standard</title><link>https://groundy.com/articles/fusions-ml-disruption-predictors-have-no-shared-validation-standard/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/fusions-ml-disruption-predictors-have-no-shared-validation-standard/</guid><description>A new EAST paper makes real-time tokamak disruption predictors cheap, but ML safety systems lack shared cross-machine validation standards before commercial plants debut.</description><pubDate>Wed, 08 Jul 2026 12:14:07 GMT</pubDate><content:encoded>&lt;p&gt;A new EAST paper makes real-time tokamak disruption predictors cheap, but ML safety systems lack shared cross-machine validation standards before commercial plants debut.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/fusions-ml-disruption-predictors-have-no-shared-validation-standard/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>fusion-energy</category><category>machine-learning</category><category>disruption-prediction</category><category>tokamak</category><category>safety-standards</category><category>governance</category><category>cross-machine-validation</category></item><item><title>AI-Generated CSAM Risks Expose Filter-First Safety Gaps</title><link>https://groundy.com/articles/ai-generated-csam-risks-expose-filter-first-safety-gaps/?utm_source=rss&amp;utm_medium=feed&amp;utm_campaign=ethics-policy</link><guid isPermaLink="true">https://groundy.com/articles/ai-generated-csam-risks-expose-filter-first-safety-gaps/</guid><description>A July 2026 ICML spotlight paper argues preventing AI-generated CSAM requires upstream design controls, because auditing, red teaming, and benchmarking cannot include it.</description><pubDate>Wed, 08 Jul 2026 08:39:41 GMT</pubDate><content:encoded>&lt;p&gt;A July 2026 ICML spotlight paper argues preventing AI-generated CSAM requires upstream design controls, because auditing, red teaming, and benchmarking cannot include it.&lt;/p&gt;&lt;p&gt;Berry Mingus · Ethics, Policy &amp;amp; Safety · 8 min read&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;https://groundy.com/articles/ai-generated-csam-risks-expose-filter-first-safety-gaps/?utm_source=rss&amp;amp;utm_medium=feed&amp;amp;utm_campaign=ethics-policy&quot;&gt;Read the full article on Groundy →&lt;/a&gt;&lt;/p&gt;</content:encoded><dc:creator>Berry Mingus</dc:creator><category>Ethics, Policy &amp; Safety</category><category>ai-safety</category><category>csam</category><category>model-governance</category><category>eu-ai-act</category><category>child-protection</category><category>training-data-provenance</category><category>upstream-controls</category></item></channel></rss>