Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models

Author:

Xin Xi1,Huang Fei1ORCID

Affiliation:

1. School of Risk and Actuarial Studies, NSW Sydney, Sydney, Australia

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Reference128 articles.

1. Alexander v. sandoval (No. 99-1908; Vol. 532, p. 275). (2001). (Vol. 532). Supreme Court. https://www.supremecourt.gov/opinions/boundvolumes/532bv.pdf

2. AMERICAN INS. V. US DEPT. OF HOUSING AND URBAN (Civil Case No. 13-00966 (RJL); Vol. 74, p. 30). (2014). (Vol. 74). Dist. Court, Dist. of Columbia. https://ecf.dcd.uscourts.gov/cgi-bin/show_public_doc?2013cv0966-47

3. A Discrimination-Free Premium Under a Causal Framework

4. Australian Human Rights Commission. 2020. Using artificial intelligence to make decisions: Addressing the problem of algorithmic bias. https://humanrights.gov.au/sites/default/files/document/publication/ahrc_technical_paper_algorithmic_bias_2020.pdf.

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3. Machine learning in long-term mortality forecasting;The Geneva Papers on Risk and Insurance - Issues and Practice;2024-04

4. A Fair price to pay: exploiting causal graphs for fairness in insurance;SSRN Electronic Journal;2024

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