Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI (Design Thinking)

Table of Contents
About the Author
About the Technical Reviewers
Acknowledgments
Foreword
Terminology
Introduction
Chapter 1: Generating Creativity from Negativity
	Differentiating Between Narrow and General AI
		More Relevant Historical Contributions to Computer Science
	Tech Is Bad… AI Is Bad
	Tech Is Good… AI Is Good
	Reconciling the Hype and the Vilification of AI
		Positive Headlines
		Negative Headlines
		Human-Generated Headlines
	Creative Activities to Try While Skynet Thrives
		Five Why’s
	Acknowledgments
	References
Chapter 2: Being Creative with Machines
	Intelligent Machines
		Simulating Human Creative Intelligence
		Automata
		Ancient Musical Robot Bands
		Key Takeaways for Creatives
		Automata That Wrote and Drew
		Key Takeaway for Creatives
	Why Play the Piano When the Piano Can Play the Piano?
		Key Takeaways for Creatives
		Machine Intelligence in the Twentieth Century
	Simulated Patterns and Patterns of Disruption
		Generative Art
		Key Takeaways for Creatives
	Machine Intelligence and Games
		Intelligent Machines with Names
		Creative Activities to Try Based on This Chapter
	Acknowledgments
	References
Chapter 3: Generative AI with Personalities
	The Personas of AI
	Prompting the AI Persona
		AI Agents Behind the Curtain
		Activities to Try Based on This Chapter
	Acknowledgments
Chapter 4: Creative Companion
	Generative AI as Muse
	Creativity, AI, and You
	Understanding Your Own Creative Process
		Key Takeaways for Creatives
	Roleplaying with Your Muse
	Accelerating Your Creative Process with AI
	Activities to Try Based on This Chapter
Chapter 5: Prototyping with Generative AI
	Asking a Prototype What It Is
	Aha Moments with Generative AI
	Mechanics of Prototyping
		Prototyping Tasks Us to Iterate
		Prototyping Asks for Persistent Refinement
		Prototyping Requires Experimentation
	Prototyping Phases
		Fidelity and Resolution of a Prototype
		Lower-Fidelity Prototypes
		Lower- to Medium-Fidelity Prototypes
	Prototyping with Generative AI
	Rapid Generative AI Prototypes
	Regenerative Testing
	Acknowledgments
Chapter 6: Building Blocks
	Components or Building Blocks
		Building Blocks in the Prompt Box
	Breakfast as Data Set
	Variation
		Experimenting with Seeds for More Subtle Variations
	Addition and Subtraction
	Substitution
	Masking to Substitute Parts of an Image
	Iteration
	Augmentation
	Diminution
	Transposition
	Prompt and Response
	Acknowledgments
Chapter 7: Generative AI Form and Composition
	Combining and Manipulating Existing Forms: Shakespeare as a Data set
	Deforming and Transforming
	Acknowledgments
Chapter 8: The Art of the Prompt
	The Ins and Outs
	A Mini Glossary of Prompting
		The Not-So-Basic Rules of Play
	Genres and Styles
	Im(promptu)
	Experiment 1: Same Prompt, Different AI
		Experiment 1A: Stable Diffusion V.2.1
		Experiment 1B: Stable Diffusion V.1.5 Through Third-Party AI
		Experiment 1C: Stable Diffusion V.2.1 Through Third-Party AI
		Experiment 1D: DALL-E 2
		Experiment 1E: Midjourney
		Experiment 1F
		Takeaways for Creatives
	Experiment 2: From Complex to Simple
		Experiment 2A: Eliminate Artists from Prompts
		Experiment 2B: Substitute Words
		Experiment 2C: Add Words; Take Away Words
		Experiment 2D: Add Context
		Experiment 2E: Emphasis, Weight, Simplicity
		Experiment 2F: Refining the Text Prompt (Again)
	Narrative Prompting in Our Future
		Experiment 3: Comparing Descriptive and Narrative Prompts
	Tricking the AI Through Creative Prompting
	Beyond the Text-Based Prompt
	Takeaways from Experimenting with Prompts
	Acknowledgments
Chapter 9: The Master of Mashup
	A Mashup on Mashup
	Digital Art to the Canvas
	New Forms of Writing
	AI Art Generation Styles
	Graphic Novels and Doujinshi
		From Comic Supervillains to Musical
	Generative NFTs
		Counterfeiting GAN
	Takeaways for Creatives
	Acknowledgments
Chapter 10: Uncanny by Nature
	The Not-Quite-Human-Not-Quite-Other
	Disrupting Boundaries in the Arts
		Uncanny AI
		Historical Precedence to the Uncanny
	The Imperfect Stochastic Parrot
		The Role of Adversarial AI
		Generative Adversarial Art
		The Unanticipated
		Prompting Single-Word Characters, Creatures, Animals, or Cats
		Simulating the Human in the Writing
	From Bad to Better Ideas
		Can Bad Ideas Be Turned Around?
	Takeaways for Creatives
	Acknowledgments
Chapter 11: Dilemmas Interacting with Generative AI
	Bringing Existing Dilemmas to the Surface (Again)
	Persistent Myths About AI
		Takeaways
	Bad Bots, Fuzzy Pixels, and Iterative Forgery
		Takeaways
	The Hallucinating Dev
		Takeaways
	The Stochastic (Sarcastic) Parrot
		Takeaways
	Exclusion of Voices and Gender Polarization
	The Machine Is Hallucinating
	NSFW and Deep Fakes
	FrankenAI
	Job (Re)placement
	A Saturated AI Ecosystem
	Ethical Futures of AI
	Creative Activities to Try Based on This Chapter
	Resources
Chapter 12: Use Cases
	Workflows vs. Pipelines
	Examples of Workflow Types
	Use Cases for Creatives in Education
		Use Case: Catching AI Untruths
		Use Case: Integrating ChatGPT in Critical Studies
		Use Case: Increasing Public Understanding of ML
		Referenced Papers
		Takeaways
	Use Cases for Creatives in Industries
		Use Case: Concept Art for Animation
		Use Case: AI-Generated Talking Heads
		Use Case: Fact-Checking Code
		Use Cases: Integrating Different APIs and Local Networks
		Community-Based Initiatives
		Takeaways from Using AI in the Film Industry
			Use Case 1: Souki Mehdaoui
			Takeaways
			Use Case 2: Ollie Rankin
	Acknowledgments
Chapter 13: AI and the Future of Creative Work
	Managing Automated Creativity
	Bread and Washing Machines
		Two Themes Every Creative Needs to Address
		Integrating AI into Your Workflows
		Day in the Life Steps
		Distinguishing Between Art and Design Processes
		Takeaways for Creatives
		Future AI Jobs Now
	Acknowledgments
	Impossibly Generated Conclusions
Appendix: Image and Text Sources
	Walk Through Figure 2, FrankenAI Lab
Index