Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques-Reference-Cited by-同舟云学术

Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques

Published:2023-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Availability, Reliability and Security
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Author:

Farayola Michael Mayowa¹^ORCID,Tal Irina¹^ORCID,Malika Bendechache²^ORCID,Saber Takfarinas²^ORCID,Connolly Regina³^ORCID

Affiliation:

1. LERO, School of Computing, Dublin City University, Ireland

2. School of Computer Science, University of Galway, Ireland

3. Business School, Dublin City University, Ireland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600160.3605033

Reference65 articles.

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4. Forecasts of Violence to Inform Sentencing Decisions

5. Richard Berk , Hoda Heidari , Shahin Jabbari , Matthew Joseph , Michael Kearns , Jamie Morgenstern , Seth Neel , and Aaron Roth . 2017. A convex framework for fair regression. arXiv preprint arXiv:1706.02409 ( 2017 ). Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. 2017. A convex framework for fair regression. arXiv preprint arXiv:1706.02409 (2017).

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