Aug 2026· Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2· pp. 13441-13442· 0 citations
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.
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Juster Donal Sinaga· Journal of Society Counselin...· 0 citations
This chapter explores how AI talks, listens, and helps people living with SMIs, examining the nature and limitations of AI in transforming the diagnosis and treatment of SMIs.
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Overall, findings suggest that current systems remain insufficiently adapted to the MENA context, underscoring the need for culturally grounded, dialect-sensitive, and clinically supervised approaches to ensure safe and effective integration.
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