SaferAI

SaferAI published a paper summarizing findings from a workshop focused on what rigorous, quantitative AI risk modeling should look like in practice and an agenda of open questions for the field.

SaferAI published commentary arguing that governance needs improvements to the evaluation pipeline and discusses how evidence fails to translate into preventative action; the post includes an editor’s update describing changes relative to initial publication timing.

SaferAI released an independent evaluation of GLM-5.2, describing testing across the four systemic risk areas in the EU General-Purpose AI Code of Practice and reporting findings about frontier capability relative to safeguards.

SaferAI published an analysis of frontier AI safety frameworks across multiple companies, describing an overall assessment gap and best-practice areas that SaferAI characterizes as currently strongest in the industry.

SaferAI published a position memo arguing for investment in high-risk, high-reward AI reliability research and laying out research directions it considers important for making advanced AI reliable and safe.

SaferAI published a post describing a European Parliament roundtable on reliable, safe, and secure AI (including a joint declaration calling for steps such as a dedicated ARPA-style research institution and multi-year funding at scale).

SaferAI announced that, as part of a consortium, it was selected under an EU AI Office tender for technical assistance focused on CBRN risk assessment; SaferAI states it will lead risk modeling and monitoring efforts for Lot 1.

SaferAI described its work on bridging AI benchmarks and real-world cyber risk assessment, characterizing a methodology that draws on risk-management practices from multiple safety-critical domains.