A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems-Reference-Cited by-同舟云学术

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
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Author:

Pagan Nicolò¹^ORCID,Baumann Joachim²^ORCID,Elokda Ezzat³^ORCID,De Pasquale Giulia³^ORCID,Bolognani Saverio³^ORCID,Hannák Anikó¹^ORCID

Affiliation:

1. University of Zurich, Switzerland

2. University of Zurich, Switzerland and Zurich University of Applied Sciences, Switzerland

3. ETH Zurich, Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617694.3623227

Reference81 articles.

1. George Alexandru Adam , Chun- Hao Kingsley Chang , Benjamin Haibe-Kains , and Anna Goldenberg . 2020 . Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation . In Proceedings of the 5th Machine Learning for Healthcare Conference(Proceedings of Machine Learning Research, Vol. 126) , Finale Doshi-Velez, Jim Fackler, Ken Jung, David Kale, Rajesh Ranganath, Byron Wallace, and Jenna Wiens (Eds.). PMLR, 710–731. https://proceedings.mlr.press/v126/adam20a.html George Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, and Anna Goldenberg. 2020. Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. In Proceedings of the 5th Machine Learning for Healthcare Conference(Proceedings of Machine Learning Research, Vol. 126), Finale Doshi-Velez, Jim Fackler, Ken Jung, David Kale, Rajesh Ranganath, Byron Wallace, and Jenna Wiens (Eds.). PMLR, 710–731. https://proceedings.mlr.press/v126/adam20a.html

2. Julia Angwin , Jeff Larson , Surya Mattu , and Lauren Kirchner . 2016 . Machine bias . ProPublica , May 23, 2016 (2016), 139–159. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine bias. ProPublica, May 23, 2016 (2016), 139–159. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

3. Karl Johan Åström and Richard M Murray . 2021. Feedback systems: an introduction for scientists and engineers . Princeton university press . Karl Johan Åström and Richard M Murray. 2021. Feedback systems: an introduction for scientists and engineers. Princeton university press.

4. Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http://www.fairmlbook.org Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http://www.fairmlbook.org

5. Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias

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