Insights From Insurance for Fair Machine Learning

Author:

Fröhlich Christian1ORCID,Williamson Robert C.1ORCID

Affiliation:

1. University of Tübingen, Germany

Funder

DFG

Publisher

ACM

Reference139 articles.

1. Efficiency and fairness in insurance risk classification;Abraham S.;Virginia Law Review,1985

2. Luck egalitarianism, universal health care, and non-responsibility-based reasons for Responsibilization;Andersen Martin Marchman;Res Publica,2015

3. Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine Bias: There’s Software Used Across the Country to Predict Future Criminals, and It’s Biased Against Blacks. ProPublica (2016). https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Accessed on June 2, 2023.

4. Equality, risk and responsibility: Dworkin on the insurance market;Armstrong Chris;Economy and Society,2005

5. Uncertainty and the welfare economics of medical care;Arrow J.;The American Economic Review,1963

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fairness: plurality, causality, and insurability;European Actuarial Journal;2024-06-19

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