AAISM Domain 1 AI Governance Practice Test 2026 – Full Study Guide

Promoting ethical AI means embedding fairness, transparency, accountability, and privacy-by-design into how AI systems are developed and used. This approach directly targets building user trust and safeguarding privacy, because it establishes a principled framework for decisions, governance, and responsibility around AI. It goes beyond technical testing or risk metrics by focusing on the ethical foundations that underpin trustworthy and privacy-preserving AI. In contrast, red teaming in AI systems is about adversarial testing to uncover weaknesses and improve security; KRIs in AI risk management are metrics to monitor risk levels; and a chairperson is a governance role. Therefore, focusing on ethical AI best matches the goal of building trust and protecting privacy.