TY - GEN
T1 - Towards Substantive Conceptions of Algorithmic Fairness
T2 - 2022 ACM Conference on Equity andAccess in Algorithms, Mechanisms, and Optimization, EAAMO 2022
AU - Arif Khan, Falaah
AU - Manis, Eleni
AU - Stoyanovich, Julia
N1 - Funding Information:
This research was supported in part by National Science Foundation awards No. 1934464, 1922658, and 1916505.
Publisher Copyright:
© 2022 ACM.
PY - 2022/10/6
Y1 - 2022/10/6
N2 - In this work we use Equal Opportunity (EO) doctrines from political philosophy to make explicit the normative judgements embedded in different conceptions of algorithmic fairness. We contrast formal EO approaches that narrowly focus on fair contests at discrete decision points, with substantive EO doctrines that look at people's fair life chances more holistically over the course of a lifetime. We use this taxonomy to provide a moral interpretation of the impossibility results as the incompatibility between different conceptions of a fair contest - foward-facing versus backward-facing - when people do not have fair life chances. We use this result to motivate substantive conceptions of algorithmic fairness and outline two plausible fair decision procedures based on the luck egalitarian doctrine of EO, and Rawls's principle of fair equality of opportunity.
AB - In this work we use Equal Opportunity (EO) doctrines from political philosophy to make explicit the normative judgements embedded in different conceptions of algorithmic fairness. We contrast formal EO approaches that narrowly focus on fair contests at discrete decision points, with substantive EO doctrines that look at people's fair life chances more holistically over the course of a lifetime. We use this taxonomy to provide a moral interpretation of the impossibility results as the incompatibility between different conceptions of a fair contest - foward-facing versus backward-facing - when people do not have fair life chances. We use this result to motivate substantive conceptions of algorithmic fairness and outline two plausible fair decision procedures based on the luck egalitarian doctrine of EO, and Rawls's principle of fair equality of opportunity.
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U2 - 10.1145/3551624.3555303
DO - 10.1145/3551624.3555303
M3 - Conference contribution
AN - SCOPUS:85141067754
T3 - ACM International Conference Proceeding Series
BT - Proceedings of 2022 ACM Conference on Equity andAccess in Algorithms, Mechanisms, and Optimization, EAAMO 2022
PB - Association for Computing Machinery
Y2 - 6 October 2022 through 9 October 2022
ER -