Equity and Access in Algorithms, Mechanisms, and Optimization

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Ethics and Social Impacts of AI Game Theory and Voting Systems Explainable Artificial Intelligence (XAI)

Abstract

As machine learning (ML) is deployed in high-stakes domains, such as disease diagnosis or prison sentencing, questions of fairness have become an area of concern in its development. This interest has produced a variety of statistical fairness ...

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2010Status and Trends in the Education of Racial and Ethnic Groups 2017Counterfactual Fairness 2016Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics 2021Measurement and Fairness 2020Towards a critical race methodology in algorithmic fairness 2019Disparate Interactions 2019Delayed Impact of Fair Machine Learning 2018Fairness in Decision-Making — The Causal Explanation Formula

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2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation 2024Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework 2024Artificial intelligence and algorithmic bias? Field tests on social network with teens

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