Abstract
Conflict-affected communities face significant mental health challenges resulting from violence, displacement, and profound loss. Unfortunately, traditional mental health services often fall short in meeting the unique needs of these regions. This paper introduces a novel approach that harnesses the power of artificial intelligence (AI) to provide trauma-informed support. Our research aims to explore how AI can effectively address the mental health needs of conflict-affected communities. By developing chatbots and virtual counselors, we seek to offer personalized resources, coping strategies, and referrals to individuals who have experienced trauma. Importantly, our approach is participatory, involving collaboration among social work students, non-governmental organizations (NGOs), and community members. This ensures that our solutions are context-specific and impactful. Our proposed participatory approach, combining AI technology with human collaboration, holds great promise for addressing mental health challenges in conflict-affected communities. By working together, we can create meaningful and sustainable impact.
Presenters
Jennifer LanhamProfessor, Campbellsville University/Carver School of Social Work, Kentucky, United States Garreth Smith
Programme Coordinator , School of Social Science, Law, and Education, Technological University Dublin, Dublin, Ireland Elizabeth Ann Moore
Assistant Professor, Carver School of Social Work, Campbellsville University, Mississippi, United States
Details
Presentation Type
Theme
KEYWORDS
Artificial Intelligence, Trauma-Informed, Conflict-Affected Regions, Participatory Research, Chatbot, Mental Health
