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Even well-designed algorithms can fail and end up hurting the people they're meant to help. In this episode, Dr. Ben Green, Assistant Professor of Information and Public Policy at the University of Michigan, explains what keeps data from being used for good, why AI regulation can't be left to AI companies, and what organizations risk losing when they hand too much of their thinking to AI.

In this clip from #TheDataAIChief podcast, he shares why it is the companies that are building AI tools that need to be held responsible vs. putting agency on the tools.

In this episode, host Cindi Howson and Dr. Ben Green discuss why leaders need to flip the script from "human in the loop" to "algorithm in the loop," keeping AI strictly in a support role so humans retain true decision-making agency.

Watch the full episode: https://bit.ly/4yQZvg5