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Research Paper | Psychiatry | India | Volume 13 Issue 7, July 2024 | Popularity: 5.2 / 10
Ethical Dimensions for AI - Driven Digital Psychotherapy: Ensuring Data Protection, Safety, and Informed Consent
Dr. Gautham G.
Abstract: The integration of artificial intelligence (AI) technologies in digital psychotherapy has revolutionized mental health care, significantly enhancing accessibility and scalability of services worldwide. AI - driven applications offer tailored interventions, real - time monitoring, and personalized support, thereby addressing longstanding challenges such as therapist shortages and geographic barriers. However, alongside these advancements, profound ethical considerations emerge, necessitating careful scrutiny and regulation. This thesis explores the multifaceted ethical dimensions posed by AI in digital psychotherapy, focusing on critical issues of user data protection, safety protocols, accountability, liability frameworks, and informed consent practices. Recent studies indicate a rapid increase in the adoption of AI technologies in mental health interventions, with AI - driven platforms showing promise in improving treatment outcomes and patient engagement. Yet, concerns persist regarding the ethical implications of AI algorithms, including privacy risks associated with data collection and processing. The framework proposed in this thesis aims to provide guidance for responsible AI deployment in psychotherapeutic practices. By synthesizing current research, ethical guidelines, and regulatory insights, this study seeks to foster a balanced approach that maximizes the benefits of AI while mitigating potential risks. It underscores the importance of interdisciplinary collaboration among researchers, clinicians, policymakers, and technologists to develop robust safeguards and ensure ethical integrity in AI - driven mental health care.
Keywords: Artificial Intelligence (AI), Digital Psychotherapy, Data Protection, Informed Consent, User Safety
Edition: Volume 13 Issue 7, July 2024
Pages: 930 - 936
DOI: https://www.doi.org/10.21275/SR24719080501
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