Column of Design for Human Well-Being: A Psychological-Artificial Intelligence Approach
TL;DR
This column encourages studies that examine responsible AI design, explainable and trustworthy AI, ethical governance, and human-centered approaches that preserve dignity, autonomy, and psychological well-being.
Abstract
Artificial intelligence is redefining design practice through generative AI, intelligent assistants, adaptive interfaces, affective computing, immersive technologies, digital twins, and human-AI collaboration. These advances create new opportunities to personalize experiences, enhance creativity, improve healthcare, support education, and facilitate decision-making. However, AI also raises critical challenges related to trust, transparency, fairness, privacy, accountability, bias, and human agency. This column therefore encourages studies that examine responsible AI design, explainable and trustworthy AI, ethical governance, and human-centered approaches that preserve dignity, autonomy, and psychological well-being. Rather than viewing AI as a replacement for human intelligence, the column promotes research exploring how intelligent systems can augment human capabilities through collaborative partnerships between humans and machines. By bringing together designers, psychologists, AI scientists, and practitioners, this column seeks to establish a vibrant forum for advancing the science and practice of designing technologies that augment humanity responsibly. It promotes a holistic understanding of well-being that encompasses physical, psychological, emotional, social, and environmental dimensions, encouraging research that bridges technological innovation with human values. Ultimately, the column aims to contribute to the development of design theories, methods, and AI-enabled solutions that empower people, strengthen communities, and support a more inclusive, resilient, and sustainable future. Research topics include but not limited to: