Designing Human-Centered AI to Promote Confidence, Inclusivity, and Mental Well-Being

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Authors: Saurabh Chandra, Aqsa S. Fatima, Liza Shoor
Cited by: 2
References: 14

Abstract

The idea of “human-centered AI” is a “naive aspiration” that entails building AI with people in mind first. This method promotes the development of AI to improve, not replace, human decision-making, and it is said to respect user autonomy, trust, and well-being. Human-centered AI uses design principles that include everyone, development methodologies that incorporate everyone, and ethical frameworks to produce systems that a wide range of people, including persons with impairments and people from marginalized groups, can use. AI systems that lessen cognitive load, offer individualized aid, and keep people in charge of life-saving decisions may help some mental health outcomes. This strategy of putting people first will make sure that AI maintains a tool for empowerment, respects human dignity and the principle of fair access, and improves quality of life while reducing any negative consequences that might happen through continual stakeholder involvement and ethical oversight.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI Digital Mental Health Interventions

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
123–140
Publication date
28 January 2026
Document type
Book chapter