An AI risk practitioner is evaluating AI systems under the lens of 'responsible AI.' Which of the following formulations BEST captures the intersection of ethics and risk management in responsible AI?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — responsible AI isn't about chasing accuracy alone. You need to balance performance with fairness, accountability, transparency, and privacy so AI helps people and society while reducing harm.
Full Explanation
The formulation that balances performance objectives with fairness, accountability, transparency, and privacy to prevent and mitigate harms to individuals and society is correct because responsible AI — as articulated across major frameworks including NIST AI RMF, OECD AI Principles, and ISO/IEC 42001 — balances technical performance with ethical principles so AI benefits individuals and society while minimizing harms. The accuracy-first formulation is wrong because it prioritizes one dimension. The human-only formulation is wrong because it eliminates automation entirely. The regulation-only formulation is wrong because it limits responsible AI to legal compliance, excluding ethical obligations beyond regulatory minimums.