Creative AI defines art and media practices that have AI embedded into the process of creation, but also encompass novel AI approaches in the realisation and experience of such work, e.g. robotic art, distributed AI artworks across locations, AI performers, artificial musicians, synthetic images generated by neural networks, AI authors and journalist bots.This book builds on the discourse of AI and creativity and extends the notion of embedded and co-operative creativity with intelligent software. It does so through a human-centred approach in which AI is empowered to make the human experience more creative. It presents ways-of-thinking and doing by the creators themselves so as to add to the ongoing discussion of AI and creativity at a time when the field needs to expand its thinking. This will avoid over-academization of this emerging field, and help counter engrained prejudice and bias. The Language of Creative AI contains technical descriptions, theoretical frameworks, philosophical concepts and practice-based case studies. It is a compendium of thinking around creative AI for technologists, human-computer interaction researchers and artists who are wishing to explore the creative potential of AI.
Author(s): Craig Vear, Fabrizio Poltronieri
Series: Springer Series on Cultural Computing
Publisher: Springer
Year: 2022
Language: English
Pages: 290
City: Cham
Preface
Acknowledgements
About This Book
Introduction
Contents
List of Figures
List of Tables
Aesthetics and Contexts
On Purpose: An Enquiry into the Possible Roles of the Computer in Art
1 This is not Another Article About ‘Computer Art’
Towards a Symbiotic Future: Art and Creative AI
1 Introduction
2 Abduction: A Semiotic Approach to Creativity
3 Synechism: The Correlation Between the Human Mind and the Computational Mind
4 Exploring the Creative AI Symbiotic Sphere: A Case Study
4.1 Amigóide
4.2 Amigóide 2.0
5 Conclusion
References
Artificial Intelligence and Creativity Under Interrogation
1 Introduction
1.1 The State of the Art of AI
2 AI as an Adjunct to the Creative Process
2.1 The Aesthetic Debate
2.2 Creative Amalgamation Between Humans and Machines
2.3 The Voices of Experts
3 The Variety of Artistic Productions with AI Mediations
3.1 Style Transfer
3.2 From Transfer to Collaboration
3.3 From Collaboration to Creation
3.4 More Complex Projects
4 Conclusion
References
AI, Creativity, and Art
1 Introduction
2 The Earlier Heron Arguments
3 Reflections on Personal Heron Contributions
3.1 Context for Heron
3.2 The Heron Trajectory
4 What Progress Has Been Made?
4.1 The Computation and Creativity Community
4.2 Developments of My Heron Argument
4.3 Where Are We Now?
5 Conclusion
References
The Ethics of Creative AI
1 Introduction
2 Ownership and Authorship
2.1 Copyright Infringement
2.2 Author/Artist Replacement
3 Inputs
3.1 Data and Bias
3.2 Artistic Identity and Essence
3.3 Creative AI’s Ship of Theseus
4 Outputs
4.1 Dangerous Creations
4.2 Deepfakes
4.3 Physical Safety
5 The Future: Virtuous Creative AI
5.1 Honesty and Humility
5.2 Empathy and Care
5.3 Civility and Flexibility
6 Conclusion
References
Structures and Frameworks
Ecosystemic Thinking: Beyond Human Narcissism in AI
1 Introduction
1.1 The Question of a Nonhuman Language
1.2 Technological Narcissism
2 Artworks as Proposals for Reorienting AI
2.1 Channeling Prehuman Logical Impulses
3 Conclusion
References
Embodied AI and Musicking Robotics
1 Pre-introduction: Music Heard So Deeply …
2 Embodied Interactions
3 Embodied AI
4 Embodied AI and Musicking Robots
4.1 Creativity and the Flow
4.2 Experiential Learning and Recollection
4.3 Embodied AI Dataset
4.4 Coping and Belief
4.5 Embodied Percept Input: Affect Module and Bio-synthetic Nervous System
5 Conclusion
References
Latent Spaces: A Creative Approach
1 Introduction
1.1 Structure of This Chapter
2 What Is a Latent Space?
2.1 Latent Spaces
3 Examples of Latent Spaces
3.1 A Latent Space for Symbolic Music Data: Music-VAE
3.2 A Latent Space for Sub-symbolic Audio Data: Latent Timbre Synthesis
3.3 A Latent Space for Sub-symbolic Image Data: StyleGAN
3.4 A Latent Space for Combined Symbolic and Sub-symbolic Image Data: VQGAN + CLIP
4 Creating with Latent Space Systems
4.1 Composers Working with Music-VAE
4.2 Composers Using Latent Timbre Synthesis
4.3 Artwork Using StyleGAN
4.4 Artwork Using VQGAN/CLIP
5 Conclusion
References
Intersections of Living and Machine Agencies: Possibilities for Creative AI
1 Introduction
2 Speculative of Models of Shared Non-Human Machine Agency in the Arts
3 PlantConnect and Biopoiesis
4 Toward a Framework for Understanding Living and Machine Agencies in the Arts
5 Conclusion
References
Conformed Thoughts, Representational Systems, and Creative Procedures
1 Introduction
2 Justification and Previous Research
3 Defining Conformed Thought
4 Proposed Model for Representational System Simulation
5 The Contribution of Art
6 Final Considerations
References
Practices
Creative AI, Embodiment, and Performance
1 Introduction
2 Background
3 The Embodiment of Creative AI
3.1 Curious Whispers
3.2 Zwischenräume and Accomplice
4 The Performance of Creative AI
5 Conclusion
References
Musebots and I: Collaborating with Creative Systems
1 Introduction
1.1 An Artist’s Approach
2 Interactive Systems
2.1 Real-Time Composition
2.2 Towards Creative Compositional Systems
3 Musebots
3.1 On Collaboration
4 Conclusion: Musebots and I
References
Composition with Computer Models of the Brain: An Alternative Approach to Music with Artificial Intelligence
1 Introduction
2 Description of Raster Plot
2.1 New Models
2.2 Music Neurotechnology
3 Compositional Process
3.1 Limitations
4 Reflection on Process
Appendix 1 The Lyrics for Raster Plot
Appendix 2 Excerpts from the Score
References
Tuning Topological Morphologies: Creative Processes of Natural and Artificial Cognitive Systems
1 Introduction
1.1 AI and Artistic Experimentation
1.2 Converging at Artificial Intelligence: The Successor to Computation
1.3 The Language of the Post-Medium Condition
2 The Language of Embodied Cognition
2.1 Embodied Aesthetic Experience
2.2 Artificial Intelligence Through Machine Learning: Cognitive, Creative Systems
3 Performing AI: 432Hz
4 Conclusion
References
Sketching Symbiosis: Towards the Development of Relational Systems
1 Introduction
2 Towards a Relational Intelligence
2.1 A Note on Language
2.2 On Fallibility as Ground
3 Practice-Based Research
3.1 Mimicry: An Exercise in Behavioural Empathy
3.2 Memory: Where Does “AI” End and “We” Begin?
3.3 Collectivity: How Can Computational Ways of Seeing Reframe a Collective Imagination?
3.4 Spectrality: What is a “Body”?
3.5 Sympoiesis
4 Summary
