What is the purpose of conducting a risk assessment in AI policy development?

• A. To identify potential technical and ethical risks
• B. To Measure Deployment Speed
• C. To Reduce Cost
• D. To Select Vendors

Answer: (A)

Risk assessment in AI policy development is about surfacing and understanding the kinds of problems AI systems could cause, so policies can address them effectively. It looks for both technical risks (like model failure, data quality issues, and security vulnerabilities) and ethical risks (such as bias, privacy concerns, fairness, and accountability). By assessing how likely these risks are and how severe their impact could be, policymakers can prioritize where to put controls, standards, and governance measures, and determine what monitoring and mitigation steps are needed. This helps ensure the policy reduces real harms and supports compliance with laws and expectations. It’s not primarily about deployment speed, cost, or choosing vendors.