Generative AI models face scrutiny due to unpredictability. New benchmarks proposed by organizations for testing model safety, including tools by Scale AI, NIST, and the U.K. AI Safety Institute, but may be insufficient.
Current AI safety evaluations deemed non-exhaustive, easily gamed, and may not reflect real-world model behavior. Lack comprehensive testing akin to safety standards in other industries, outlined by the Ada Lovelace Institute.
Research aims to assess AI model risk. Limitations of current evaluation approaches highlighted by Elliot Jones of ALI, emphasizing the need for more effective AI safety assessments for policymakers and regulators.
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