[Commlist] New book: Generative AI, Media and Society

New book

Generative AI, Media and Society

Author: Katalin Feher

Publisher: Routledge, 2025

ISBN 9781032968735

This interdisciplinary volume examines the societal, communicative, 
policy, and governance implications of generative artificial 
intelligence. Framing generative AI as an evolutionary leap in the 
relationship between humans, media, and intelligent systems, the book 
brings together perspectives from communication and media studies, AI 
governance, digital platforms, ethics, creativity, and public policy to 
explore how this technology is reshaping media ecosystems, institutions, 
and society.

The volume is intended for researchers, educators, students, 
policymakers, and professionals working in communication and media 
studies, digital media, artificial intelligence, and related 
interdisciplinary fields. It will also be of interest to readers seeking 
an evidence-based and forward-looking perspective on the broader 
societal implications of generative AI.

Table of Contents

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

Further information:
https://www.routledge.com/Generative-AI-Media-and-Society/Feher/p/book/9781032968735 
<https://www.routledge.com/Generative-AI-Media-and-Society/Feher/p/book/9781032968735>
Abstracts of all chapters are available here:
https://www.taylorfrancis.com/books/mono/10.4324/9781003591023/generative-ai-media-society-katalin-feher 
<https://www.taylorfrancis.com/books/mono/10.4324/9781003591023/generative-ai-media-society-katalin-feher>

Contact:
Katalin Feher
(feher.katalin /at/ uni-nke.hu)
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