Artificial Intelligence In Mental Healthcare
Keywords:
Artificial intelligence; mental healthcare; digital mental healthSynopsis
Artificial intelligence (AI) is increasingly transforming mental healthcare through capabilities such as pattern recognition, prediction, natural language processing, personalization, conversational interaction, and decision support. This book explores the role of AI in screening, early detection, psychotherapy and counseling support, personalized care, psychoeducation, professional decision-making, and longitudinal monitoring. Despite its potential, AI-enabled mental healthcare presents significant risks, including privacy concerns, algorithmic bias, lack of transparency, cultural and linguistic limitations, safety issues, overreliance, emotional dependency, and reduced meaningful human interaction. The book emphasizes that technological capability does not necessarily indicate clinical readiness and highlights the importance of comprehensive technical, clinical, prospective, equity, and safety evaluations. Particular attention is given to guidance and counseling, where empathy, trust, confidentiality, professional responsibility, and therapeutic relationships remain essential. AI should therefore complement rather than replace mental-health professionals, while human professionals retain responsibility for ethical judgment, contextual interpretation, relational care, and accountability. For Indonesia, responsible AI adoption requires cultural adaptation, AI literacy, strong privacy and governance, local evidence, equity, human oversight, transparency, and continuous evaluation. Ultimately, AI should enhance not replace human-centered mental healthcare.
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