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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 9: AAAI-21 Technical Tracks 9

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

February 1, 2023

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Authors

Umang Gupta

Information Sciences Institute, University of Southern California


Aaron M Ferber

University of Southern California


Bistra Dilkina

University of Southern California


Greg Ver Steeg

Information Sciences Institute, University of Southern California


DOI:

10.1609/aaai.v35i9.16931


Abstract:

Controlling bias in training datasets is vital for ensuring equal treatment, or parity, between different groups in downstream applications. A naive solution is to transform the data so that it is statistically independent of group membership, but this may throw away too much information when a reasonable compromise between fairness and accuracy is desired. Another common approach is to limit the ability of a particular adversary who seeks to maximize parity. Unfortunately, representations produced by adversarial approaches may still retain biases as their efficacy is tied to the complexity of the adversary used during training. To this end, we theoretically establish that by limiting the mutual information between representations and protected attributes, we can assuredly control the parity of any downstream classifier. We demonstrate an effective method for controlling parity through mutual information based on contrastive information estimators and show that they outperform approaches that rely on variational bounds based on complex generative models. We test our approach on UCI Adult and Heritage Health datasets and demonstrate that our approach provides more informative representations across a range of desired parity thresholds while providing strong theoretical guarantees on the parity of any downstream algorithm.

Topics: AAAI

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HOW TO CITE:

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Proceedings of the AAAI Conference on Artificial Intelligence (2021) 7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021, 7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg (2021). Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. Proceedings of the AAAI Conference on Artificial Intelligence, 7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg. 2021. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. "Proceedings of the AAAI Conference on Artificial Intelligence". 7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg. (2021) "Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation", Proceedings of the AAAI Conference on Artificial Intelligence, p.7610-7619

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg, "Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation", AAAI, p.7610-7619, 2021.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg. "Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg. "Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 7610-7619.

Umang Gupta||Aaron M Ferber||Bistra Dilkina||Greg Ver Steeg. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI[Internet]. 2021[cited 2023]; 7610-7619.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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