Promoting Equity in AI-Driven Mental Health Care for Marginalized Populations
Artificial Intelligence (AI) is increasingly used in mental health care, but its equitability is a pressing concern. This paper examines the potential biases in AI-driven mental health tools and their impact on marginalized communities. It explores several strategies to mitigate bias in AI-driven mental health tools, focusing on promoting equity and inclusivity.
Authors
- Nii Adjetey Tawiah (ORCID: https://orcid.org/0000-0002-1299-8686)
- Judith P. Monestime (ORCID: https://orcid.org/0000-0003-0677-2768)
Institutions
- Delaware State University (US)
- Florida Atlantic University (US)
Publication Details
- Journal
- Proceedings of the AAAI Symposium Series
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1609/aaaiss.v4i1.31810
- Citations
- 2
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 0.77