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What is Preventive Mental Health Work

Chapter 12

Exploring the Ethical Implications of Generative AI

Preventive work in mental health aims to promote good mental health and reduce the need for psychiatric treatment. It encompasses efforts to stop physical ill-health, enhance work capacity, and ultimately increase societal financial income by addressing mental health challenges.

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)

Source Title: Exploring the Ethical Implications of Generative AI

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.

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