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Explore a conference talk that delves into the intersection of price discrimination and fairness constraints in algorithmic decision-making. Examine how researchers M. Cohen, A. Elmachtoub, and X. Lei address the challenge of balancing profit maximization with ethical considerations in pricing strategies. Learn about the proposed mathematical framework that incorporates fairness metrics into traditional price discrimination models. Gain insights into the potential implications of this research for businesses, consumers, and policymakers in an increasingly data-driven economy. Understand the complexities of implementing fair pricing practices while maintaining economic efficiency. This 18-minute presentation from the FAccT 2021 virtual conference, hosted by the Association for Computing Machinery (ACM), offers a thought-provoking analysis of a critical issue in the field of algorithmic fairness and accountability.
