Post 10: Algorithmic Performance Transparency

Here's a question for every organization building AI systems:

What does your model's performance look like disaggregated by disability status, race, ethnicity, socioeconomic status?

If you don't know, you have a knowledge problem. If you do know and it's unequal, you have a design problem.

When your AI hiring system performs at 90% accuracy overall but 60% for disabled applicants, you don't have a data issue. You have a system that systematically disadvantages disabled people.

Genuine inclusive design requires:

• Disaggregated performance metrics

• Transparent reporting of disparities

• Hard performance thresholds for marginalized populations

• Design changes when thresholds aren't met

Publish the disparities. Then fix them.

#AI #Fairness #Transparency