From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Responsible AI

Responsible AI

Responsible AI is a disciplined way of designing, building, and operating artificial intelligence systems so that they deliver value while protecting people, data, and society. Responsible AI sets clear standards and evidence for how teams choose problems, handle data, develop and evaluate models, deploy and monitor systems, and provide oversight. The idea behind responsible AI is simple. Make choices that respect people, protect data, and deliver predictable outcomes, and then collect the evidence that proves it. Responsible AI is central to governance because it connects strategy to the everyday work of product, data, engineering, and risk teams. Responsible AI covers the full AI lifecycle. It begins with planning and business alignment, and flows through the creation, validation, deployment, and monitoring of the model, ending with the model's eventual retirement. Each step needs clear owners, repeatable controls, and records that show what you tested and why you approved a…

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