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Ethical Considerations Surrounding the Use of AI-Interventions in Application of Mental Healthcare
Abstract
AI's integration into mental healthcare has opened new frontiers in the diagnosis, treatment, and management of mental disorders. This leap brings with it a host of ethical considerations. This chapter provides an analysis of the ethical dimensions of AI interventions in mental healthcare, examining the implications for patient autonomy, privacy, and the integrity of the therapeutic relationship. It discusses the challenges of ensuring informed consent in the context of complex AI systems, the risks of algorithmic bias, its impact on equitable care, and the importance of maintaining confidentiality in the face of expansive data requirements. The chapter also explores the need for transparent AI algorithms that can be scrutinized and understood by both practitioners and patients. Furthermore, it addresses the ethical responsibility of AI developers and healthcare providers to prevent harm and ensure the beneficence of AI applications. By highlighting these ethical issues, the chapter aims to foster a responsible approach to the development and deployment of AI interventions.
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