How does bias affect AI evaluation processes?

How does bias affect AI evaluation processes?

Bias can significantly impact AI evaluation by skewing results, leading to unfair assessments of performance.

Can you give examples of bias in AI evaluations?

Sure! Examples include gender bias in hiring algorithms and racial bias in facial recognition systems.

What are some ways to mitigate bias in AI evaluations?

Mitigation strategies include using diverse training data, regular audits, and implementing fairness metrics.

Is there a way to measure bias in AI systems?

Yes, bias can be measured using statistical tests and fairness indicators that assess model performance across different groups.