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Assessing AI Fairness in Finance

Authors:

Robert C. Williamson,

Richard ZemelAuthors Info & Claims

Computer, Volume 55, Issue 1

Pages 94 - 97

https://doi.org/10.1109/MC.2021.3123796

Published: 01 January 2022 Publication History

Abstract

If society demands that a bank’s use of artificial intelligence systems is “fair,” what is the bank to actually do? This article outlines a pragmatic and defensible answer.

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Yew RHadfield-Menell DConitzer VTasioulas JScheutz MCalo RMara MZimmermann A(2022)A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI SystemsProceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3514094.3534130(823-830)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.1145/3514094.3534130

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IEEE Computer Society Press

Washington, DC, United States

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Published: 01 January 2022

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Yew RHadfield-Menell DConitzer VTasioulas JScheutz MCalo RMara MZimmermann A(2022)A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI SystemsProceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3514094.3534130(823-830)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.1145/3514094.3534130

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Essays in International Finance

Quantum Finance: Intelligent Forecast and Trading Systems

Essays in International Finance and Macroeconomics

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