Which concept focuses on privacy, bias, responsibility, and the nature of intelligence and autonomy in AI?

Get ready for the ISACA AI Fundamentals Test with flashcards and multiple-choice questions. Each question features hints and detailed explanations. Prepare to ace your exam with confidence!

Multiple Choice

Which concept focuses on privacy, bias, responsibility, and the nature of intelligence and autonomy in AI?

Explanation:
Ethical AI focuses on privacy, bias, responsibility, and the nature of intelligence and autonomy in AI. It guides how AI should be designed, developed, and deployed to protect individuals’ privacy, reduce unfair bias, assign accountability for outcomes, and consider what it means for machines to be intelligent and capable of autonomous action. That broad scope makes it the best fit for the prompt. Privacy challenges in AI zeroes in only on privacy issues, federation learning describes a technique for privacy-preserving training rather than a full ethical framework, and deepfakes denote a technology that can raise ethical concerns but don’t by themselves define how AI should be governed.

Ethical AI focuses on privacy, bias, responsibility, and the nature of intelligence and autonomy in AI. It guides how AI should be designed, developed, and deployed to protect individuals’ privacy, reduce unfair bias, assign accountability for outcomes, and consider what it means for machines to be intelligent and capable of autonomous action.

That broad scope makes it the best fit for the prompt. Privacy challenges in AI zeroes in only on privacy issues, federation learning describes a technique for privacy-preserving training rather than a full ethical framework, and deepfakes denote a technology that can raise ethical concerns but don’t by themselves define how AI should be governed.

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