Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems-Reference-Cited by-同舟云学术

Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems

Published:2022-03-07 Issue:1 Volume:3 Page:267-279
ISSN:2730-5953
Container-title:AI and Ethics
language:en
Short-container-title:AI Ethics

Author:

Agarwal Avinash^ORCID,Agarwal Harsh^ORCID,Agarwal Nihaarika

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s43681-022-00147-7.pdf

Reference50 articles.

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3. Curionin, A.: Trusted AI for Business. https://docbox.etsi.org/Workshop/2019/201904_SUMMIT_AI/S04_AI_CHALLENGES_OPPORT/TRUSTED_AI_BUSINESS_IBM_CURIONI.pdfAccessed 14 Aug 2020

4. Mahoney, T., Varshney, K.R., Hind, M.: AI Fairness. O’Reilly Media, Inc. (2020)

5. Kodiyan, A.A.: An overview of ethical issues in using AI systems in hiring with a case study of Amazon’s AI based hiring tool. Researchgate Preprint (2019)

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