Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI (Design Thinking) [1 ed.] 1484295781, 9781484295786

Table of contents :
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

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