Artificial Super Intelligence in Mental Healthcare Practices

Sathyapriya B and Dr. K. Sathyamurthi
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Sathyapriya B: PhD Scholar (FT), Madras School of Social Work, Egmore-08
Dr. K. Sathyamurthi: HOD, Madras School of Social Work, Egmore-08

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 7, 284-294

Abstract: Artificial superintelligence (ASI), a theoretical form of intelligence that surpasses human cognitive, emotional, and problem-solving abilities, holds immense potential to revolutionize mental healthcare. This research explores the possible integration of ASI into mental health practices, emphasizing its capability to transform diagnostic accuracy, therapeutic interventions, and emotional support systems. Unlike current AI tools, ASI could understand human behavior, emotions, and psychological patterns with unmatched depth, enabling hyper-personalized treatment plans, real-time adaptive therapy, and continuous emotional companionship. Additionally, ASI could analyze vast socio-behavioral datasets to predict mental health trends and inform public health strategies. However, the development and deployment of ASI also raise critical ethical concerns, including patient autonomy, data privacy, emotional manipulation, and dependency. This study discusses the transformative potential and the moral complexities of ASI in mental healthcare, offering a futuristic lens on how human-AI synergy could redefine mental well-being at individual and societal levels.

Date: 2025
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