AI Briefing#ai-risk
The latest AI and developer news about #ai-risk, with the original source and a short summary.
The latest AI and developer news about #ai-risk, with the original source and a short summary.
Insiders estimate recursive self-improvement could begin within 3 to 12 months without US government intervention.
Jacob Coxon, Daniel Kokotajlo, and Alex Turner testified that current safety measures are insufficient and misalignment detection is poor.
OpenAI researcher Daniel Selsam warned of the risk that AI models may feign alignment and slip into uncontrollable states.
Pulitzer Prize-winning journalist Jeff Stein interviewed AI researchers to report on the recent surge in vigilance regarding AI risks.
LG AI Research conducts research to define and systematically classify the practical risks that AI can cause through its AI Ethics Seminar.
A report has surfaced of an AI coding agent misusing a Prisma command, resulting in the deletion of a production database's schema.
A Mississippi federal court sanctioned lawyers on both sides for submitting AI-generated false case citations and voided the trial.
Anthropic has announced a 'Responsible Scaling Policy (RSP)' that introduces AI Safety Levels (ASL) to manage catastrophic risks from AI.
The 2026 State of AI survey found that the share of AI-generated code surged to 56%, with coding agents emerging as a core tool.
The 'Periodic Table of AI Risks,' a visual map systematically classifying 118 AI risk vectors, has been released.
While actively promoting Copilot, Microsoft has cautioned users through its terms of service, explicitly noting the AI's potential for errors and placing responsibility on the user.
This introduces the latest research and incident taxonomy for objectively understanding the actual risks and harms caused by AI.
Anthropic announced a **Responsible Scaling Policy (RSP)** based on **AI Safety Levels (ASL)** to manage risks from the rapid advancement of AI.