Generative Artificial Intelligence and Creativity

Matthew Worwood is Associate Director of UConn Digital Media & Design at the Stamford campus. He also serves as the Director of Digital Media CT, a statewide collaborative dedicated to furthering Digital Media education in Connecticut. Matthew’s research focuses on teacher creativity and design thinking inside the context of teaching and learning. He has also published on design-based practices that influence the development and implementation of technological solutions in education.Matthew blogs at DadsforCreativity.com and co-hosts the Fueling Creativity podcast. He is also an active contributor to Creativity and Education and produces the occasional low-budget documentary film. Matthew currently serves on the Advisory board at St Gregory the Great Elementary School in Danbury, CT; he is also in the process of setting up a small UK-based charity dedicated to helping post-care foster children in London, England.James C. Kaufman is a Professor of Educational Psychology at the University of Connecticut. He is the author/editor of more than 45 books and 300 papers, which include theoretical contributions such as the Four-C Model of Creativity (with Ron Beghetto) and empirical work, such as the study that spawned the “Sylvia Plath Effect. He is a past president of Division 10 (Society for Psychology of Aesthetics, Creativity, & the Arts) of the American Psychological Association (APA). James has won many awards, including Mensa’s research award, the Torrance Award from the National Association for Gifted Children, and APA’s Berlyne, Arnheim, and Farnsworth awards. He co-founded two major journals (Psychology of Aesthetics, Creativity, and the Arts and Psychology of Popular Media Culture). He has tested Dr. Sanjay Gupta’s creativity on CNN, appeared in the hit Australian show Redesign Your Brain, narrated the comic book documentary Independents, and is set to appear in a 2021 Netflix documentary. He wrote the book and lyrics to Discovering Magenta, which had its NYC premiere in 2015, and co-authored a book on bad baseball pitchers with his father.

• 1. IntroductionPart 1: The Value and Application Placed on Human Creativity2. The Paradox of Creativity in the Age of Generative Artificial Intelligence3. Beyond Idea Generation: The Importance of Idea Evaluation in Human-AI Co-Creativity4. Creative AI-gency: How AI Elicits Human Creative Potential5. Entangled Interaction with Minimal Algorithms – is interactive process (not model size) the key to more creative machines?Part 2: Generative AI and the Ethics of Co-Creativity6. Artificial Intelligence and Creativity: The Ethical Debate7. Augmenting Human Creativity with Responsible and Ethical Use of Generative AI8. Generative AI v. Human Creativity: Challenges for the Copyright System9. Assessing Creativity with AI10. Robots for CreativityPart 3: Gen AI and the Creativity Downside11. AI Yai Yai: The Fate of Creativity in the Age of Generative AI 12. Democratization or Devaluation? A Critical Reflection on the Impacts of AI on Human Creatives and Creativity Professionals13. Generative AI’s impact on Creativity and Equity: Another Great Equalizer or The Rich Get Richer?14. The Convenience Trap: How AI Could Hinder Creativity and Learning in Education15. This Will (Probably) Not End Well: AI in Education and CreativityPart 4: GenAI and the Creativity Upside16. Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration17. AI as Muse: How Humans can Leverage Large Language Model AI for Transdisciplinary Creative Thinking and Research18. Navigating the Future of Teaching, Learning, and Creativity with Generative AI19. Beyond Boundaries: Transdisciplinary Creativity with Generative Artificial Intelligence Part 5: Conclusion20. Navigating Creativity and AI: Possibilities, Precautions, and Future Paths