Which of the following is a core Responsible AI principle?

Prepare for the PMI Cognitive Project Management for AI Exam! Practice with flashcards and multiple choice questions, with detailed explanations. Boost your confidence and excel in your test!

Multiple Choice

Which of the following is a core Responsible AI principle?

Explanation:
This question tests the set of principles that guide Responsible AI. The best match is a collection that includes fairness, transparency, accountability, and privacy. These four together capture the core governance and ethical considerations for AI: fairness focuses on avoiding bias and ensuring equitable outcomes; transparency emphasizes making how and why decisions are made understandable; accountability ensures there is clear responsibility for outcomes and governance of the system; privacy protects individuals’ data and limits exposure. While the other options include important topics like speed, cost, security, or safety, they don’t collectively cover all four aspects that define responsible AI practice—bias avoidance, explainability, governance, and data protection.

This question tests the set of principles that guide Responsible AI. The best match is a collection that includes fairness, transparency, accountability, and privacy. These four together capture the core governance and ethical considerations for AI: fairness focuses on avoiding bias and ensuring equitable outcomes; transparency emphasizes making how and why decisions are made understandable; accountability ensures there is clear responsibility for outcomes and governance of the system; privacy protects individuals’ data and limits exposure. While the other options include important topics like speed, cost, security, or safety, they don’t collectively cover all four aspects that define responsible AI practice—bias avoidance, explainability, governance, and data protection.

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