John Dickerson

Liz O'Sullivan Contributor Share on X Liz O’Sullivan is CEO of Parity, a platform that automates model risk and algorithmic governance for the enterprise. She also advises the Surveillance Technology Oversight Project and the Campaign to Stop Killer Robots on all things artificial intelligence. More posts by this contributor How the law got it wrong with Apple Card John P. Dickerson Contributor Share on X John P. Dickerson is chief scientist at Arthur as well as computer science faculty at the University of Maryland; he works broadly at the intersection of economics and computer science with a focus on using machine learning to balance fairness and efficiency in markets.

John P. Dickerson is chief scientist at Arthur as well as computer science faculty at the University of Maryland; he works broadly at the intersection of economics and computer science with a focus on using machine learning to balance fairness and efficiency in markets.

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Here are a few ways GPT-3 can go wrong

Because algorithmic bias is rarely straightforward, many GPT-3 applications will act as canaries in the growing coal mine that is AI-driven applications.