Generative AI, Media, and Society

This groundbreaking book demystifies generative AI's transformative impact on media, socio-cultural dynamics, ethics, and policy. It is an essential resource for scholars, students, policymakers, technologists, ethicists, and AI industry leaders.

Autorentext

Katalin Feher is a globally recognized expert in generative AI, AI media, and sociotechnical systems. With extensive research, policy, and industry experience across four continents, her work focuses on responsible AI governance, societal impacts, and strategic foresight.

Klappentext

This groundbreaking book demystifies generative AI's transformative impact on media, socio-cultural dynamics, ethics, and policy. It is an essential resource for scholars, students, policymakers, technologists, ethicists, and AI industry leaders.

Inhalt

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