Why is it important to adapt existing risk management techniques for AI?

• A. To include considerations for ethics, privacy, and human rights
• B. To speed up product launches by removing governance
• C. To reduce the need for audits and compliance
• D. To standardize only the technical stack without process changes

Answer: (A)

Adapting risk management techniques for AI means weaving ethics, privacy, and human rights into how we identify, assess, and mitigate risk throughout the AI lifecycle. AI systems can impact individuals and communities in meaningful ways—bias in decision-making, data privacy concerns, and a lack of transparency or accountability. By incorporating ethical considerations, privacy protections, and human rights perspectives into risk assessments, organizations can anticipate harms early, implement appropriate controls, and uphold accountability as deployments scale. This approach also helps meet regulatory expectations and build trust with stakeholders. Removing governance to speed up releases or reducing audits and compliance undercuts safety and accountability, while focusing only on the technical stack without process changes ignores the broader governance needs and leaves ethical and privacy risks unaddressed.