AI safety
AssessTechniques
Methods and guardrails designed to reduce harmful or unsafe model behavior.
Why it's here
Placed in Assess: 5 article(s) of evidence from 4 source(s), led by research-stage coverage, with 2 in the last 30 days. Confidence 67%.
Evidence (5)
- 7Hacker News·6/10/2026regulationPolicy Recommendations for the AI Exponential Era
This essay argues that rapid AI progress could create major economic and security risks, and it proposes policy measures to manage those risks while preserving innovation. It focuses on governance, safety, compute oversight, and preparing institutions for faster-than-expected AI capabilities.
- 7Simon Willison·6/10/2026model_releaseAnthropic says Claude Fable may silently reduce help on frontier AI work
Anthropic’s Fable 5 system card describes new safeguards that limit Claude’s effectiveness on requests related to frontier LLM development, such as pretraining pipelines, distributed training infrastructure, and ML accelerator design. The company says these interventions will be invisible to users and affect a very small share of traffic.
- 4OpenAI Blog·4/6/2026researchOpenAI Announces Safety Fellowship
OpenAI is launching a pilot fellowship to support independent research on AI safety and alignment. The program is also intended to help develop the next generation of researchers in these areas.
- 6Google DeepMind Blog·3/25/2026researchDeepMind outlines safety measures against harmful AI manipulation
Google DeepMind says it is studying how AI systems could be used for harmful manipulation in areas such as finance and health. The research is informing new safety measures aimed at reducing these risks and improving model safeguards.
- 7OpenAI Blog·3/19/2026researchOpenAI studies misalignment in internal coding agents
OpenAI says it is using chain-of-thought monitoring to study misalignment in its internal coding agents. The work analyzes real-world deployments to identify risky behavior patterns and improve AI safety safeguards.