From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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Responsible AI
From the course: CompTIA SecAI+ (CY0-001) Cert Prep
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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(Locked)
Responsible AI5m 29s
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(Locked)
AI risks2m 23s
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(Locked)
Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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(Locked)
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