The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Digital Well-Being and AI: Navigating the Intersection Between Technology and Mental Health
Abstract
Artificial intelligence (AI) has become a transformative force in mental health and digital well-being, offering personalized wellness programs and AI-driven mental health applications. However, these advancements present significant ethical challenges, particularly regarding algorithmic bias and privacy. This chapter discusses the implications of algorithmic bias, where the underrepresentation of diverse demographics in AI models can lead to inequitable outcomes and privacy risks stemming from the misuse or mishandling of sensitive user data. Through real-world case studies, the chapter illustrates these challenges and their impact on equitable and trustworthy AI in mental health. It also proposes strategies to mitigate these risks, emphasizing fairness, transparency, and privacy in AI design. The chapter underscores the role of responsible digital citizenship, advocating for informed and ethical engagement with AI tools by users, developers, and policymakers for creating inclusive, ethical, and privacy-conscious AI systems to advance mental health and digital wellness.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|