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Experiential Speculation in Vision-Based AI Design Education: Designing Conventional and Progressive AI Futures


 
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1. Title Title of document Experiential Speculation in Vision-Based AI Design Education: Designing Conventional and Progressive AI Futures
 
2. Creator Author's name, affiliation, country Yi-Ching Janet Huang; Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands;
 
2. Creator Author's name, affiliation, country Stephan Wensveen; Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands; Netherlands
 
2. Creator Author's name, affiliation, country Mathias Funk; Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands; Netherlands
 
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4. Description Abstract Artificial Intelligence (AI) will change how designers design, what they design, and why they design. Recent efforts have extended design education with AI and related machine learning (ML) concepts and technologies. Often, these courses are grounded in other fields such as Computer Science, Electrical and Mechanical Engineering, and Social Sciences. However, few courses teach AI concepts and technologies in combination with creativity, aesthetics, and speculation to leverage the expertise of design. We explored this combination to allow students to creatively design AI exemplars. In a nine-week design activity, students envision and prototype AI exemplars that are based on their personal vision and aesthetic values. This paper reports on our vision, course design, educational context, and learning activities with a focus on developing and integrating different areas of design expertise with AI technology. We contribute insights into 1) what was designed: six design cases, resulting in design speculations, prototypes, and critical reflections as well as our design critiques of these AI exemplars. Then, 2) how to design with a vision-based approach to AI design education in comparison to other approaches, and 3) a futuring landscape with three horizons unpacking why to design with AI.
 
5. Publisher Organizing agency, location Chinese Institute of Design
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2023-08-30
 
8. Type Status & genre Peer-reviewed Article
 
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9. Format File format PDF, HTML
 
10. Identifier Universal Resource Indicator https://www.ijdesign.org/index.php/IJDesign/article/view/4943
 
11. Source Journal/conference title; vol., no. (year) International Journal of Design; Vol 17, No 2 (2023)
 
12. Language English=en en
 
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