Promoting Equity in AI-Driven Mental Health Care for Marginalized Populations

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.