This book is a timely and valuable guide for innovators, designers, managers, and students who want to integrate AI in their design thinking processes and projects. It begins with an overview of how AI can be used in design thinking and the need for the reskilling of designers of the future. The book then highlights how AI can support and enhance each phase of the design thinking process—prepare & train, emphasize & define, ideate & select, prototype & test, and implement & learn. It also explores how AI programs can elevate the success of the design thinking process, offering a solution to…mehr
This book is a timely and valuable guide for innovators, designers, managers, and students who want to integrate AI in their design thinking processes and projects. It begins with an overview of how AI can be used in design thinking and the need for the reskilling of designers of the future. The book then highlights how AI can support and enhance each phase of the design thinking process—prepare & train, emphasize & define, ideate & select, prototype & test, and implement & learn. It also explores how AI programs can elevate the success of the design thinking process, offering a solution to the challenge of producing creative outcomes that are also “faster, better and cheaper”. In the final sections, readers are encouraged to consider the future of AI for innovation, including the use of AI agents and various AI program resources useful across phases of design thinking. Created through a collaboration of design and business scholars with experienced designers, this book blends rich knowledge and practical insight. Packed with real-world use cases, examples, and practical tools, it serves as a valuable resource for both educational and professional settings.
Daniel Graff is Distinguished Research Fellow and Director of the Strategic Design Lab at Tongji University, China. He has 16 years of experience in design innovation and research. He teaches Design Thinking, Design Methods & AI, and Business Model Innovation. Mark A. Clark is Professor and Chair of Management at American University, USA. His research and teaching centers on team performance, leadership, and collaboration. Dan Li is a PhD student in the Design A.I. Lab at Tongji University, Japan. Passionate about integrating art and technology, she focuses on innovative solutions in smart city visualization, art installations, and branding strategy. Lei Xia is a PhD student in the College of Design and Innovation at Tongji University, Japan. He is a product designer and researcher with expertise in user experience, industrial products, and enterprise systems.
Inhaltsangabe
Section I: Overview of AI in Design Thinking. Chapter 1: Design Thinking. Chapter 2: Introduction to AI: Foundations, Applications, and Future Directions. Chapter 3: The use of AI in Design. Chapter 4: Reskilling of Designers in the Age of Generative AI. Chapter 5: General Guidance. Section II: Preparing to use AI in Design Thinking. Chapter 6: Why and how to prepare. Chapter 7: Design thinking Prepare Tools with AI. Chapter 8: Use cases. Section III: Understand the Research Context with AI. Chapter 9: Introduction to Design Thinking Research. Chapter 10: Research Design Tools with AI. Chapter 11: Use cases. Section IV: Create. Chapter 12: Creativity in the Design Process. Chapter 13: Creativity Design Tools with AI. Chapter 14: Use cases. Section V: Test. Chapter 15: Testing your ideas. Chapter 16: Prototyping Design Tools with AI. Chapter 17: Use cases. Section VI: Implement. Chapter 18: The importance of excecution. Chapter 19: Implementation Design Tools with AI. Chapter 20: Use case study. Section VII: Putting it all together. Chapter 21: AI as tool to build a design thinking approach. Section VII: AI Resources for Design. Chapter 22: General AI Tools for Design Thinking. Chapter 23: Specific AI Tools for Prepare. Chapter 24: Specific AI Tools for Research. Chapter 25: Specific AI Tools for Creativity. Chapter 26: Specific AI Tools for Prototyping. Chapter 27: Specific AI Tools for Implementation.
Section I: Overview of AI in Design Thinking. Chapter 1: Design Thinking. Chapter 2: Introduction to AI: Foundations, Applications, and Future Directions. Chapter 3: The use of AI in Design. Chapter 4: Reskilling of Designers in the Age of Generative AI. Chapter 5: General Guidance. Section II: Preparing to use AI in Design Thinking. Chapter 6: Why and how to prepare. Chapter 7: Design thinking Prepare Tools with AI. Chapter 8: Use cases. Section III: Understand the Research Context with AI. Chapter 9: Introduction to Design Thinking Research. Chapter 10: Research Design Tools with AI. Chapter 11: Use cases. Section IV: Create. Chapter 12: Creativity in the Design Process. Chapter 13: Creativity Design Tools with AI. Chapter 14: Use cases. Section V: Test. Chapter 15: Testing your ideas. Chapter 16: Prototyping Design Tools with AI. Chapter 17: Use cases. Section VI: Implement. Chapter 18: The importance of excecution. Chapter 19: Implementation Design Tools with AI. Chapter 20: Use case study. Section VII: Putting it all together. Chapter 21: AI as tool to build a design thinking approach. Section VII: AI Resources for Design. Chapter 22: General AI Tools for Design Thinking. Chapter 23: Specific AI Tools for Prepare. Chapter 24: Specific AI Tools for Research. Chapter 25: Specific AI Tools for Creativity. Chapter 26: Specific AI Tools for Prototyping. Chapter 27: Specific AI Tools for Implementation.
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