Track 2: Human-Centered AI: Learning, Collaboration, and Responsibility
Track Organizers
Chair: Dr. REN Jing – Singapore University of Social Sciences
Co-chair: Associate Professor ZHANG Meilin – Singapore University of Social Sciences
Abstract
Artificial intelligence (AI) is increasingly becoming part of the environments in which people learn, create, interact, and develop their capabilities. This special track focuses on the human experience of AI and the conditions under which intelligent technologies can enhance, rather than diminish, human potential. It welcomes research on AI-supported learning and education, human–AI interaction and collaboration, AI agents, human capability augmentation, the future of work and human capital, and AI applications that address social and sustainability challenges. Particular attention is given to how individuals and communities understand, experience, and respond to AI, including issues of trust, explainability, agency, inclusion, well-being, and responsible use. The track encourages interdisciplinary contributions that examine the design and use of AI from psychological, educational, social, ethical, technological, and sustainability perspectives. Empirical, conceptual, methodological, and design-oriented studies are welcome, particularly those that move beyond technological performance to consider how AI can support meaningful human development and positive societal outcomes. By bringing together diverse perspectives, this track seeks to advance a deeper understanding of how AI can be shaped to empower people, strengthen human capabilities, and contribute to more inclusive, sustainable, and human-centered futures.
Call for Papers: Suggested Topics
- • Human–AI interaction, collaboration, and capability augmentation
- • AI agents and autonomous intelligent systems
- • AI-supported learning, education, and lifelong learning
- • Human-centered design and evaluation of AI systems
- • AI, human agency, trust, and explainability
- • AI literacy, skills development, and the future of human capabilities
- • AI, human capital, and the future of work
- • AI for social impact, inclusion, and community well-being
- • AI and sustainability
- • Responsible and ethical AI from a human-centered perspective
- • AI accessibility and inclusive technology
- • Human well-being and the psychological and social implications of AI
- • Other human-centric applications of AI technologies