Which of the following is NOT a key principle of Responsible AI?

• A. Fairness.
• B. Transparency.
• C. Accountability.
• D. Efficiency.

Answer: (D)

Understanding Responsible AI principles centers on guiding how AI systems affect people and society, focusing on fairness, transparency, and accountability. Fairness aims to prevent discrimination and ensure equitable outcomes. Transparency seeks clear disclosure about how models work and how decisions are made, so people can trust and scrutinize the process. Accountability establishes who is responsible for outcomes and provides mechanisms for redress if things go wrong. Efficiency, while important for performance and resource use, does not address ethical governance or societal impact, so it isn’t considered a core principle of Responsible AI.