Safety & Security

Artificial intelligence safety and security encompasses the technical and policy measures used to mitigate model risks, vulnerabilities, abuse and failures. Truncated covers research developments, threat analyses, defense mechanisms and policy discussions related to reliable deployment.

Yesterday · Tue 10 Nov

Q&A: How can organizations improve fairness in automated AI systems?

AI-generated summary A new study by a Pennsylvania State University researcher and collaborators proposes a holistic theory of artificial intelligence fairness called FAIR to help organizations manage automated decision-making. Co-author Jing Tian explains that artificial intelligence fairness is an evolving issue requiring regular human collaboration and continuous management rather than a one-time fix.

Monday 9 November

OpenAI Deploys Control Room to Cut Off Research Model Output

AI-generated summary OpenAI introduced Control Room on November 9, 2026, as a central authorization layer for research workloads designed to cut off model output after safety or security interventions. OpenAI reports a maximum 35-second lag between receiving a stop instruction and further progress becoming impossible across its research infrastructure.

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Covered Models | Claude Help Center

AI-generated summary Anthropic explains that certain Claude models are designated as Covered Models when their capabilities represent a substantial step up from prior generations and create elevated risk if misused. Anthropic outlines that these models require a 30-day minimum retention by default for prompts and model completions, alongside automated safety reviews and specific data handling policies.