Digital innovations in mental health, facilitated by AI, include the development of applications and self-help tools. These tools aim to monitor and improve mental health, but the challenge lies in the lack of research-based data and continuous reviews, requiring users to assess the quality and trustworthiness of these applications.
Published in Chapter:
Navigating the Quandaries of Artificial Intelligence-Driven Mental Health Decision Support in Healthcare
Sagarika Mukhopadhaya (Adamas University, India),
Akash Bag (Adamas University, India), Pooja Panwar (National Law School of India University, India), and Varsha Malagi (Manipal University, India)
Copyright: © 2024
|Pages: 26
DOI: 10.4018/979-8-3693-1565-1.ch012
Abstract
The integration of artificial intelligence (AI) into mental health services is examined in this chapter, highlighting the potential advantages of intelligent decision support systems in reducing the workload of medical personnel and enhancing patient care. However, there are serious worries due to the delicate nature of healthcare and the moral dilemmas brought on by possible malpractice or neglect. Five reoccurring ethical issues are identified and analyzed in this chapter, which includes interviews with healthcare professionals and AI researchers. These challenges are handling inaccurate suggestions, negotiating moral dilemmas, preserving patient autonomy, addressing the liability conundrum, and building trust. The chapter thoroughly analyzes these issues through empirical data and a literature study, illuminating the convoluted ethical terrain at the nexus of AI and mental health.