AI Ethics & Safety
AI Fairness
AI Ethics & Safety· Intermediate
Definition
The principle and practice of ensuring AI systems produce equitable outcomes across demographic groups — not systematically disadvantaging people based on protected characteristics like race, gender, or age. Encompasses multiple formal fairness definitions (demographic parity, equalized odds) that can conflict with each other.
Enterprise Context
Regulatory requirement in hiring, lending, insurance, and healthcare AI. Organizations deploying decision-making AI must demonstrate fairness and document disparate impact testing.
Tags
#bias#equity#regulation
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