Mitigating Racial Bias in Machine Learning

Journal of Law, Medicine and Ethics 50 (1):92-100 (2022)
  Copy   BIBTEX

Abstract

When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 93,031

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

On algorithmic fairness in medical practice.Thomas Grote & Geoff Keeling - 2022 - Cambridge Quarterly of Healthcare Ethics 31 (1):83-94.
Detecting racial bias in algorithms and machine learning.Nicol Turner Lee - 2018 - Journal of Information, Communication and Ethics in Society 16 (3):252-260.
Algorithmic Political Bias in Artificial Intelligence Systems.Uwe Peters - 2022 - Philosophy and Technology 35 (2):1-23.
Disability, fairness, and algorithmic bias in AI recruitment.Nicholas Tilmes - 2022 - Ethics and Information Technology 24 (2).

Analytics

Added to PP
2022-04-08

Downloads
40 (#410,144)

6 months
26 (#116,068)

Historical graph of downloads
How can I increase my downloads?