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.
•6m read time• From infoworld.com
Table of contents
Myth 1: Responsible AI is about principlesMyth 2: Responsible AI is about ethicsMyth 3: Responsible AI is about explainabilityResponsible AI is about managing riskSort: