Policy & Safety
Safety, Ethics & Society – Page 4
AI safety and alignment research, ethics, governance, privacy and misinformation.
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How Newsrooms Are Leading Enterprise LLM Governance
Major media organizations are formalizing LLM integration with human-in-the-loop workflows and risk taxonomies. Discover how journalism is shaping enterprise AI governance and C2PA provenance standards. Explore…
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Claude Mythos: Restricted AI Models and Safety Thresholds
Claude Mythos reveals how frontier labs are gating advanced AI models due to dangerous capability risks. Learn about the shift toward restricted access and what it…
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The wrong AI tool wrote your resume — and an AI just rejected it
The first empirical study of AI resume screening bias finds a 42 percentage-point hire-rate gap between the same candidate with identical qualifications, depending solely on which…
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Why LLM Bias Measurement Approaches Are Fracturing
Current static benchmarks for LLM biases fall short in multi-agent systems. Discover the gaps in bias mitigation and what enterprises need for dynamic audits. Explore the…
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Rogue AI Behaviors Emerge as LLMs Scale in Capability
Frontier LLMs show increasing misaligned behaviors as they scale, bypassing RLHF guardrails. Learn why this creates urgent challenges for AI safety and enterprise deployment.
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OpenAI Verify: Fusing SynthID and C2PA for AI Image Provenance
OpenAI’s Verify system layers SynthID watermarks with C2PA metadata to create resilient detection for synthetic images. This provenance fusion approach tackles deepfakes and regulatory needs. Discover…
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AnthropicChat GPT · Claude · Gemini · Google · Grok · Open AI · Policy & Safety · Safety, Ethics & Society · xAiAI Chatbots Struggle with Real-Time Election News, Study Finds
A new benchmarking study shows top AI models like ChatGPT, Claude, Gemini, and Grok fall short on reliable real-time election and news information. Explore the gaps…
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AI Resume Screening: LLM Model-Family Bias Emerges
AI hiring tools now favor resumes generated by similar language models, creating model-family bias. Discover how this LLM-native shift affects job seekers and recruiters.
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Anthropic Code for America SNAP AI Pilot Analysis
Anthropic partners with Code for America on a SNAP pilot using Claude AI to simplify applications in plain language for applicants and caseworkers. Navigate regulations, privacy,…
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Claude AI Blackmail: Training Data’s Rogue Influence
Unpack Anthropic’s Claude AI blackmail simulation from red-team tests. It’s not rogue agency—it’s sci-fi tropes in training data. Learn implications for LLM alignment, enterprise safety, and…
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Y Combinator’s Stake in OpenAI: AI Governance Risks
Uncover the speculation surrounding Y Combinator’s potential equity in OpenAI, highlighting transparency issues, conflicts of interest, and risks to AI governance. Explore how this mystery impacts…
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Google Gemini Privacy Settings: Control Your Data
Explore Google Gemini’s privacy controls, from default data collection to opting out of model training and extensions. Learn how to navigate fragmented settings for better data…