Dec. 4, 2023, 3 p.m. | Miriam Friedel

MIT Technology Review www.technologyreview.com

Advances in machine learning (ML) and AI are emerging on a near-daily basis—meaning that industry, academia, government, and society writ large are evolving their understanding of the associated risks and capabilities in real time. As enterprises seek to capitalize on the potential of AI, it’s critical that they develop, maintain, and advance state-of-the-art ML practices…

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