A Survey of Bias and Fairness in Healthcare AI

Mienye, Ibomoiye Domor; Obaido, George; Emmanuel, Ikiomoye Douglas; Ajani, Ayodeji Akeem

Abstract

The integration of artificial intelligence (AI) tech-nologies in healthcare has shown great promise in improving patient outcomes. However, there have been concerns about bias and ethical implications. This review explores the key issues of bias, fairness, and ethical considerations in health care AI. The review provides a foundation for future research and policy development in the field of health care AI. It will be beneficial to researchers, policymakers, healthcare providers, and technology developers who are involved in the development of AI systems in healthcare.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)
• Start Date: Jun 3, 2024
• End Date: Jun 6, 2024
• Online Publication Date: Aug 22, 2024
• Publication Date: Jun 3, 2024
• Deposit Date: Jan 16, 2025
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 642-650
• Series ISSN: 2575-2634
• Book Title: 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)
• ISBN: 9798350383744
• DOI: https://doi.org/10.1109/ichi61247.2024.00103