Theinitial deployment phaseof an AI model is critical forpost-deployment monitoring. When tracking forbias, the most important task is tocontinue disparity testingto determine whether outputs differ across protected groups.
From theAI Governance in Practice Report 2024:
“Performance monitoring protocols… should include mechanisms to assess and measure disparities in outcomes across different demographic groups.” (p. 12)
“Bias may not be evident during pre-deployment testing but can emerge in real-world use.” (p. 41)
B. Awareness trainingis helpful, but not a technical bias mitigation activity.
C. Analyzing training datais apre-deploymenttask.
D. Documenting human decisionsmay support auditability but doesn’t detect bias in AI outputs.
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit