Design Decision-Making in the Age of Artificial Intelligence

This chapter examines the educational value of teaching design as a decision-making process in STEM education. Students learn to navigate open-ended problems by evaluating, selecting, and implementing solutions while balancing functionality, cost, aesthetics, sustainability, usability, and innovation. Such trade-offs demand structured decision-making and ethical awareness, integrating diverse perspectives to ensure responsible technological solutions. The chapter highlights how artificial intelligence (AI) can enhance these processes through co-design capabilities such as data analysis, decision support, object recognition, and natural language processing. By automating routine tasks and analyzing complex datasets, AI supports more efficient, informed, and interdisciplinary design practices while fostering sustainability and accountability. At the same time, concerns such as over-reliance on automated systems and the potential erosion of human creativity and expertise are acknowledged. Together, these insights frame AI’s transformative, yet complex, role in shaping design education and advancing responsible STEM practices.