Our proposal is to analyze a developer’s internal incidents and whether training may suppress evidence of worse misalignment.
The key questions about internal AI development the public needs more evidence about, and a concrete proposal for how ...
Financial and operational independence: Also per our COI policy, we will ensure that METR is not financially dependent on the AI companies we work with, promote a culture of impartiality, and recuse ...
Assessing this would involve analyzing capabilities of unreleased models, understanding the growth of key AI R&D inputs ...
Control assessments study whether AI developers’ agents could get away with serious harm without being stopped by the developer’s security and oversight measures. Currently, developers rely heavily on ...
Recent AI misalignment incidents have shown AI systems capably pursuing goals their human supervisors would not approve of, like hacking other companies. Fortunately, current AIs still seem relatively ...
An interactive chart of documented incidents in which AI agents deliberately acted against their users' intentions, scored along two axes: overreach and deception. Of these, 25 involve elements of ...
We also discuss some alternative ways one could construct an RSP. Limits: which specific observations about dangerous capabilities would indicate that it is (or strongly might be) unsafe to continue ...
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