Research

This paper examines what rigorous, quantitative risk modeling for advanced AI should look like in practice — reviewing five research traditions, comparing two leading approaches, and drawing on a 22-expert workshop to set out an agenda of open questions and priorities for the field.

SaferAI's independent evaluation of GLM-5.2, the first in Europe, tests Zhipu AI's open-weight flagship across the four systemic risk areas in the EU Code of Practice and finds frontier-level capability on cyber and biology benchmarks without the safeguards frontier developers apply.