Generative AI, Media, and Society by Feher, Katalin;

Rövid leírás:

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.

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Hosszú leírás:

"

This groundbreaking book demystifies generative AI’s 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.

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Tartalomjegyzék:

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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