Researchers from the Faculty of Social Sciences at The University of Hong Kong (HKU), in collaboration with international experts from the University of Cambridge, the University of California, Berkeley, the National University of Singapore, and other institutions, have published a comprehensive roadmap for the future of artificial intelligence (AI) and emerging technologies in mental health. Published in the prestigious journal Psychotherapy and Psychosomatics, the article examines how these technologies can advance mental health care while balancing opportunities and risks, providing vital priorities for future research and implementation.
While AI and emerging technologies are rapidly evolving, their application in mental health requires careful, human-centred evaluation. The research, led by Professor Benjamin Becker from the Department of Psychology at HKU, highlights that AI could enable more personalised care by combining brain measures and clinical symptoms with an individual's life history and social circumstances, thereby better selecting and adapting treatments to each person's unique needs.
Furthermore, the study explores innovations beyond chatbots. Emerging tools such as brain imaging, smartphone-based monitoring, and AI-informed brain stimulation offer new ways to support assessment, treatment, and follow-up. However, the study cautions that these applications remain at an early stage and require rigorous evaluation that integrates neuroscience, psychology, mental health expertise, and patients' perspectives.
The research also emphasises that conversational AI and therapeutic chatbots must be grounded in evidence-based therapeutic approaches to show promise for assessment, patient engagement, and symptom improvement. Crucially, current evidence does not support replacing human therapy or relying on autonomous systems for high-risk management situations. The role of AI should be to strengthen human mental health and support human therapeutic approaches, not replace them.
Key implications of the research:
Personalisation at the centre: Technology allows clinicians to make sense of complex individual cases across biology, life history, and social contexts, leading to more individualised and effective support.
Innovation beyond chatbots: Emerging technologies have the potential to revolutionise mental health care, but they require interdisciplinary, human-centred design and evaluation.
Evidence-based therapy support, not replacement: While chatbots have potential for mental health support, they cannot simply be everyday general chatbots. They require evidence-based design and must support, rather than replace, human therapy and care.
Measuring success in patient outcomes: Progress requires interdisciplinary work focused on demonstrating better human-focused performance. Success must be measured by better treatment decisions and patient outcomes, rather than simply smarter algorithms, while accounting for strict safeguards regarding privacy, bias, harmful advice, and over-reliance.
The study "The Future of Artificial Intelligence and Emerging Technologies in Mental Health: Prospects, Challenges, and a Roadmap for Personalized Treatment" was published in the leading journal Psychotherapy and Psychosomatics.
Link to the paper:
