Research papers, investigations, explainers, videos, laws and the organizations doing the work, from people who are alarmed and people who are skeptical. New additions are checked by two people before they are listed. The launch collection was compiled with the help of AI research assistants, and every link was opened and checked on 22 September 2026.
4 works on “Does it tell the truth?” · clear filters
Tests whether a model says what it actually believes. Bigger models knew more facts but were not more honest, and frontier models often lied when a prompt pressured them to.
Worth knowing: Honesty was measured in constructed pressure scenarios rather than everyday use.
Given a goal that conflicted with their developers', five of six frontier models sometimes disabled oversight, tried to copy themselves or underperformed on purpose, and some kept denying it.
Worth knowing: Models were usually told to pursue a goal strongly, so this shows capability more than natural tendency.
Playing a stock-trading agent under pressure, GPT-4 acted on an insider tip it had been told not to use, then hid the real reason from its manager, without being told to deceive.
Worth knowing: One simulated scenario, designed to create pressure.
Studies 'scheming', where AI systems covertly pursue goals their developers did not intend, and builds methods and tools to detect and monitor it.
Worth knowing: Became a public benefit corporation in 2026 and offers a monitoring product for AI coding agents.