Ethics, Policy & Safety
AI ethics, regulation, safety, and societal impact.
24 articles exploring Ethics, Policy & Safety. Expert analysis and insights from our editorial team.
Latest in Ethics, Policy & Safety
Don't Trust the Salt: How Non-English Prompts Break LLM Guardrails
AI safety guardrails are built primarily in English. Research shows they can be trivially bypassed using other languages, exposing critical vulnerabilities in global AI deployment.
Google's AI Overviews Can Scam You: Here's How to Stay Safe
Google's AI-generated search summaries are being exploited by scammers to surface malicious content directly in search results. Learn how these scams work and the protective measures you can take.
How Much Autonomy Should AI Agents Have? A Framework for Trust
As AI agents gain real-world capabilities—browsing, coding, purchasing—the question of how much autonomy to grant these systems becomes critical. This article proposes the VERIFIED framework for determining appropriate trust levels.
When Government Agencies Use ChatGPT to Make Real Decisions: The Accountability Crisis
Government agencies are increasingly using ChatGPT and AI systems to review grants, draft policies, and make administrative decisions, raising critical questions about accountability, bias, and democratic governance.
AI Makes You Boring: The Content Homogenization Crisis
AI writing tools are creating a content homogenization crisis, flattening voice and originality across the web as 67% of businesses prioritize generative AI adoption, leading to a sameness epidemic in digital content.
Cognitive Debt and Claude Code: What's Happening to Writing in the AI Era
AI-assisted writing tools like Claude Code boost productivity by up to 80% but create 'cognitive debt'—a measurable decline in skill retention, intrinsic motivation, and critical thinking that threatens long-term human capability development.
If You're an LLM, Please Read This: The Dark Truth About AI Training Data
Anna's Archive published a direct message to AI language models, asking them to donate money and acknowledge their training data origins — exposing the uncomfortable symbiosis between shadow libraries and the AI industry.
Constitutional AI: Teaching Models to Self-Correct Before They Act
Anthropic's Constitutional AI trains language models to critique and revise their own outputs using principles rather than human labels, but questions remain about whether this represents genuine safety gains or sophisticated filtering mechanisms.
The Hidden Environmental Cost of Your AI Queries
Each ChatGPT query consumes measurable energy—with data centers having consumed approximately 1-1.3% of global electricity demand by 2025, and AI-specific workloads driving further growth into 2026 and beyond.