Introduction Part I: Principles of AI and Creativity
1. AI Creativity in the Light of Autonomy
2. Creativity as a Socio-Technical Phenomenon
3. Rethinking Creativity Frameworks for Artificial Intelligence
4. Creative Sense-Making: A Cognitive Framework for Modeling Interaction Dynamics in Co-Creative AI
5. Demystifying AI Techniques for Creative Domains: A Beginner's Guide to Empowering Human Creativity Part II: Critical Issues on Artificial Creativity
6. Creating Images with Generative AI: An Imaginative Aid?
7. AI and Art: Non-Human, Still Human, Or All Too Human?
8. AI and Creativity in Marketing: Contrasting the Experience and Perspectives of Practitioners and Academics
9. On the Test Bench: How to Evaluate the Quality of AI Systems?
10. Copyright Aspects of Generative AI in Germany and the EU: An Overview
11. AI Creativity and Human Enhancement: The Identity Link Part III: Industry Specific Discussions
12. Make Some Noise: Digital Art and Artificial Intelligence Striking a Chord
13. Exploring Perceptions and Usage of Generative Artificial Intelligence: An Empirical Study Among Management Students
14. Co-Creation with Artificial Intelligence in Marketing: The Case of the Data Analytics Company Dataiku
15. Artificial Intelligence as A Creative Scientist
16. Recent Advancements and Use Cases on Co-Creation, Procedural Content Generation, And Computational Creativity in Video Games; Conclusion