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◆ Journal of Technology in Behavioral Science2026-05-23· Transformative learning

AI Chatbots and Psychotherapy: Overcoming Skepticism Through Responsible Innovation

Jack Noto, Nathan Carroll, Charles Binkley

原始摘要(英文原文)· Original abstract
Abstract The global mental health crisis, marked by overwhelmed providers and limited access to affordable care, requires innovative solutions. Artificial intelligence (AI), particularly chatbots powered by large language models (LLMs), offers a potential paradigm shift in mental health care delivery. This commentary explores the transformative potential of AI chatbots, highlighting their accessibility, capacity for personalized interventions through multimodal data integration, and potential for autonomous support via agentic AI. We also address critical ethical concerns, including data privacy, algorithmic biases, cultural barriers, and the digital divide, and practical limitations, such as simulated empathy, considerations of human-AI attachment, and the effects on therapists. We advocate for responsible development and implementation of AI chatbots, emphasizing transparency, adherence to ethical guidelines, and rigorous clinical trials. Ultimately, we envision AI chatbots not as replacements for human therapists, but as powerful tools that can augment traditional psychotherapy, expand access to care, and contribute to a future of precision mental health. A novel hybrid model, combining human-human therapy with AI-powered support, is proposed as an optimal approach to leverage the unique strengths of both modalities.
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AI Chatbots and Psychotherapy: Overcoming Skepticism Through Responsible Innovation — 科研速览 Science Skim