AI for Social Good: Promoting Health Equity through Community-Centric Technologies

Autor/innen

  • Dr. Syed Ali Shah Professor, Department of Sociology, University of Balochistan, Quetta Autor/in

Schlagwörter:

artificial intelligence, health equity, community-centric technologies, social determinants of health, algorithmic bias, participatory design, digital health, health disparities, AI ethics, telemedicine

Abstract

Artificial Intelligence (AI) offers transformative potential for addressing systemic health inequities, particularly when deployed through community-centric approaches. By aligning AI technologies with the needs of marginalized populations, it is possible to create more inclusive, responsive, and equitable healthcare systems. Community-centric AI leverages localized data, participatory design, and culturally relevant models to better understand and respond to the social determinants of health. This paradigm ensures that solutions are not only technologically advanced but also ethically grounded and socially impactful.

Veröffentlicht

2024-05-10

Zitationsvorschlag

AI for Social Good: Promoting Health Equity through Community-Centric Technologies. (2024). Journal of Social Sciences and Community Support , 1(1), 35-46. https://researchcorridor.org/index.php/jsscs/article/view/471

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