This groundbreaking book demystifies generative AIs transformative impact on media, socio-cultural dynamics, ethics, and policy.
Defining generative AI as an evolutionary leap in the development of artificial intelligence, the author examines intricate human-machine interactions and socio-technical dynamics, advocating robust, proactive AI governance to address emerging uncertainties. The book is clearly structured into six key chapters, each exploring distinct aspects of the relationship between artificial intelligence, media, and society. The chapter on "Transformation" examines how machine behavior is reshaping our datafied society, questioning whether data is the new oil, or digital manure. "Generative AI" investigates the models and future impacts of generative AI as a co-intelligence, revisiting the Turing Test and analyzing societal-business impacts. "AI Media" explores the convergence of media and AI, highlighting robot journalism, synthetic content, and the disinformation era and discussing the trend toward high-risk optimism. "Uncertainties" addresses inherent unpredictability vs. strategic foresight, focusing on challenged business models, sustainability concerns, and emotional intelligence factors. "Ethics" analyzes generative morality and dual-use technology, covering trusted AI principles'from misuse to integrative solutions. Finally, "Policy" discusses governance, labor market impacts, and the importance of human rights and power dynamics in generative AI. Each chapter also provides summaries of impact projects, reflective art, scholarly questions, and strategic takeaways'extended with a comprehensive glossary.
This is an essential resource for scholars, students, policymakers, technologists, ethicists, and AI industry leaders seeking to rapidly understand and address the challenges and opportunities of generative AI and AI media in a cohesive framework.
The Author
Funds and Acknowledgments
Preface
Introduction
1. Transformation
Defining Transformation
Introduction
Transformation Technology
Data as Oil or Manure
Datafied Society
Definition and Four Waves of AI
Machine Behavior
Socio-technical Systems
Attention Economy
Paraphrasing Maslow
Impact Project
Reflective Art
Conclusion
Scholarly Debates
Strategic Takeaways
2. Generative AI
Defining Generative AI
Introduction
Origins of Generative AI
Understanding Generative AI
Mechanics and Models
From Turing Test to Turing Trap
Stochastic Parrots
Societal and Business Impacts
Entertainment and NewsTech
Future of Generative AI
Impact Project
Reflective Art
Conclusion
Scholarly Debates
Strategic Takeaways
3. AI Media
Defining AI Media
Introduction
From Metamedia to AI Media
Convergence of Media and AI
AI and Generative Mediatization
Robot Journalism
Synthetic-Hyper-Immersive Media Extensions
Disinformation and Deepfakes
Recommendation Media and Mind Control
Dangerous Optimism
Impact Project
Reflective Art
Conclusion
Scholarly Debates
Strategic Takeaways
4. Uncertainties
Defining Uncertainties
Introduction
The Nature of Uncertainty
Uncertainty vs. Risk
Innovation and Metareasoning
Challenged Business Models
Societal-Environmental Sustainability
Emotional Intelligence
Predicting Futures
Societal Perception
Impact Project
Reflective Art
Conclusion
Scholarly Debates
Strategic Takeaways
5. Ethics
Defining Ethics
Introduction
Generative Morality and AI Ethics
Dual Use Dilemma
Trusted GenAI Principles
Harm and Misuse
Agent Behavior and the Social Contract
(Un)Bias and Generative Colonization
Responsible and Explainable GenAI
Integrative Ethics
Impact Project
Reflective Art
Conclusion
Scholarly Debates
Strategic Takeaways
6. Policy
Defining Policy
Introduction
Governing GenAI
Human-Centered Design
Equity and Human Rights
AI Power Dynamics
Human Labor Market
Creativity and Social Innovation
GenAI for Good
Contrasting AI Policies and Strategies
Impact Project
Reflective Art
Conclusion
Scholarly Debates
Strategic Takeaways
Conclusion
Glossary
References
Index
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