Artificial intelligence has deeply impacted our understanding of creativity and the human ability to generate creative outputs. New applications for creative tasks are rapidly evolving, and new tools are constantly being developed with much greater optimal capabilities.
Artificial intelligence has deeply impacted our understanding of creativity and the human ability to generate creative outputs. New applications for creative tasks are rapidly evolving, and new tools are constantly being developed with much greater optimal capabilities.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Francisco Tigre Moura is Professor of Marketing at the IU International University of Applied Sciences, Germany.
Inhaltsangabe
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
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
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