AI's Impact on Design Thinking and Service Ecosystems Explored by University of Michigan Professor

At the University of Michigan, Sheng-Hung Lee serves as an Assistant Professor of Urban Technology and leads the d-mix lab, where he investigates the transformative impact of artificial intelligence on design methodologies and human thought processes. He points out three significant changes: first, generative AI tools such as KREA, Figma Make, and Adobe Creative Cloud have revolutionized the initial 'Discover' stage of the Double Diamond Model, shifting designers from creators to curators in a fast-paced exploration environment. Second, AI is reshaping service design by necessitating the management of ecosystems of AI agents, illustrated by platforms like Rejara for healthy aging. Lastly, while AI enhances the ability to analyze complex 'wicked problems'—a term coined by Horst Rittel and Melvin Webber in 1973 and later explored by Richard Buchanan (1992) and Nigel Cross (2001)—it reframes rather than resolves issues like climate change and poverty. The article raises concerns about the potential of AI-generated summaries, such as those from ChatGPT, to undermine the intricate process of developing understanding and judgment. Lee insists that the objective should be to enhance human cognition through AI collaboration, rather than replace it, advocating for systems that prioritize human-centered and ethical principles.