The user wants to understand Fairness in the context of Biometric AI and apply it to practical AI governance or compliance work.
Fairness in AI refers to the principle that AI systems should treat individuals and groups equitably and avoid unjustified discrimination or harmful bias. It involves identifying and mitigating bias in data, models, deployment contexts, and decision processes.
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