Verifying that machine learning models do not show racial or gender bias is an example of the Microsoft responsible AI principle of fairness.
Fairness means AI systems should treat people equitably and avoid unfair bias across demographic groups such as race, gender, age, or other protected characteristics.
Why the other options are incorrect:
A. Safety focuses on avoiding harm and operating safely.
B. Privacy and security focuses on protecting data and access.
C. Reliability focuses on consistent and dependable operation.
D. Fairness directly addresses bias and equitable treatment.
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