AI start-up sees thousands of vulnerabilities in popular tools

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Haize Labs hopes to become a “Moody’s for AI” that establishes public-safety ratings for popular artificial intelligence models.

An artificial intelligence start-up says it has found thousands of vulnerabilities in popular generative AI programs and released a list of its discoveries.

Haize is a small, five-month-old start-up founded by Leonard Tang, Steve Li and Richard Liu, three recent graduates who all met in college. Collectively, they published 15 papers on machine learning while they were in school. Haize’s testing automates “red teaming,” the practice of simulating adversarial actions to identify vulnerabilities in an AI system. “Think of us as automating and crystallizing the fuzziness around making sure models adhere to safety standards and AI compliance,” Tang said.

 

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