Leveraging AI to Bridge Gaps in Mental Health Counseling for Deaf Populations

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Authors: Enoch Tomiwo Oladunmoye
Cited by: 1
References: 55

Abstract

The growing global mental health crisis highlights the need for inclusive care, particularly for deaf communities who continue to face barriers such as communication challenges, limited sign language–proficient counselors, and discriminatory attitudes. This chapter explores how Artificial Intelligence (AI) can address these gaps by providing scalable, culturally appropriate support through tools like sign language avatars, natural language processing, emotion recognition, and virtual reality therapy. Grounded in the Social Model of Disability and Person-Centered Theory, the study shows how AI can dismantle institutional barriers while offering tailored, compassionate services. Evidence suggests that AI-based interventions enhance clinical outcomes, dignity, autonomy, and psychological well-being among deaf individuals. Finally, the chapter outlines guidelines for building and ethically deploying AI systems to expand access to mental health care for the deaf community.

Fields of Study & Subjects

Hearing Impairment and Communication Artificial Intelligence in Healthcare and Education Disability Rights and Representation

Publication details

Journal / source
Policies and Issues in Deaf Studies and Education
Publisher
IGI Global Scientific Publishing
Pages
285–316
Publication date
12 February 2026
Language
NG
Document type
Book chapter