Search Results for author: Joaquin Quiñonero-Candela

Found 2 papers, 0 papers with code

Disentangling and Operationalizing AI Fairness at LinkedIn

no code implementations30 May 2023 Joaquin Quiñonero-Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu

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.

Fairness

Counterfactual Reasoning and Learning Systems

no code implementations11 Sep 2012 Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson

This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system.

Causal Inference counterfactual +1

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