Aug 2026· Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2· pp. 13441-13442· 0 citations· 3 references
TL;DR
The International Workshop on AI for Cognitive and Mental Health Support is proposed, a half-day interdisciplinary forum that brings together researchers and practitioners from data mining, machine learning, NLP, NLP, HCI, healthcare, and social sciences to advance trustworthy, effective, and socially responsible AI solutions for cognitive and mental health support.
Abstract
Cognitive and mental health (CMH) disorders are increasingly prevalent worldwide and pose significant societal, clinical, and economic challenges. While conventional mental health support methods remain limited by scalability and reactivity, recent advances in artificial intelligence have opened new opportunities for scalable, proactive, and personalized mental health support. Rapid progress has been made in areas such as mental health assessment, empathetic conversational agents, and AI-assisted psychological interventions; however, these efforts remain fragmented across disciplines, and critical challenges related to reliability, interpretability, ethics, and real-world deployment persist. To address these gaps, we propose the International Workshop on AI for Cognitive and Mental Health Support (AI4Mental), a half-day interdisciplinary forum that brings together researchers and practitioners from data mining, machine learning, NLP, HCI, healthcare, and social sciences. The workshop focuses on three complementary pillars: AI as Assessment, AI as Emotional Support, and AI as Psychological Intervention, covering topics ranging from multimodal mental health detection and longitudinal risk modeling to empathetic dialogue systems and responsible interventions. By consolidating emerging research and fostering cross-disciplinary dialogue, AI4Mental aims to advance trustworthy, effective, and socially responsible AI solutions for cognitive and mental health support, aligning closely with SIGKDD's mission on data science for social good.
This review examines how AI and emerging technologies may contribute to mental health care across diagnostic assessment, biomarker development, treatment selection, personalized neuromodulation, adaptive interventions, and conversational agents.
N. Qiu, Duo-Duo Xu, B. Sahakian et al.· Psychotherapy and Psychosoma...· 0 citations
It is concluded that while AI integration into clinical psychology has the potential to substantially strengthen mental health systems, its successful implementation depends on adherence to ethical standards, fairness, and responsible governance.
O. Omankwu· International Journal of Eng...· 0 citations
The review found that AI tools—for example, selfreferral chatbots that reduced waiting times and increased treatment uptake—provide expanded 24/7 access, improved clinical efficiency, and potential for individualised personalisation, while Predictive models showed promise for treatment selection and risk stratification...
Shizal Nawaz, Laiba Nawaz, Hasnain Ali et al.· Digital Medicine· 0 citations
Artificial intelligence can enhance mental healthcare through early detection, personalized treatment planning, predictive risk assessment, digital therapeutics, and remote care delivery, and these applications may expand access to mental health services, particularly in underserved and resource-limited settings.
Fabiana Chyczij, M. Paixão, Diogo Gonçalves Sara· Global Health Economics and...· 0 citations
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