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3 pernicious myths of responsible AI

Responsible AI (RAI) is needed to drive trust, adoption, and prevent potential risks. Three pernicious myths about RAI include the belief that it is about principles, ethics, or explainability. RAI is actually about managing risk through a multi-layered strategy involving people, processes, and technology.

    #data-science#ethics#responsible-ai
May 02, 2024•6m read time•From infoworld.com
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Myth 1: Responsible AI is about principlesMyth 2: Responsible AI is about ethicsMyth 3: Responsible AI is about explainabilityResponsible AI is about managing risk
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