Year: 2024
Type: conference-paper
Abstract: 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 Tawiah, Judith P. Monestime
Institutions: Delaware State University, Florida Atlantic University
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4404187836
