Evaluating Frontier Models for Dangerous Capabilities
<|reference_start|>Evaluating Frontier Models for Dangerous Capabilities: To understand the risks posed by a new AI system, we must understand what it can and cannot do. Building on prior work, we introduce a programme of new "dangerous capability" evaluations and pilot them on Gemini 1.0 models. Our evaluations cover four areas: (1) persuasion and deception; (2) cyber-security; (3) self-proliferation; and (4) self-reasoning. We do not find evidence of strong dangerous capabilities in the models we evaluated, but we flag early warning signs. Our goal is to help advance a rigorous science of dangerous capability evaluation, in preparation for future models.<|reference_end|>
@article{phuong2024evaluating,
    title={Evaluating Frontier Models for Dangerous Capabilities},
    author={Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre
  Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael,
  Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad,
  Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter,
  Gregoire Deletang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca Dragan,
  Rohin Shah, Allan Dafoe, Toby Shevlane},
    journal={arXiv preprint arXiv:2403.13793},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.13793},
    primaryClass={cs.LG}
}