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Disentangling and Operationalizing AI Fairness at LinkedIn
Operationalizing AI fairness at LinkedIn's scale is challenging not only because there are multiple mutually incompatible definitions of fairness but also because determining what is fair depends on the specifics and context of the product where AI is deployed.
An Operational Perspective to Fairness Interventions: Where and How to Intervene
We demonstrate our framework with a case study on predictive parity.
Pushing the limits of fairness impossibility: Who's the fairest of them all?
The impossibility theorem of fairness is a foundational result in the algorithmic fairness literature.
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