Generative AI, Media and Society
Seiten
2025
Routledge (Verlag)
978-1-032-96875-9 (ISBN)
Routledge (Verlag)
978-1-032-96875-9 (ISBN)
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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.
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 navigate emerging uncertainties. The book is clearly structured into six key sections, each exploring distinct aspects of the relationship between artificial intelligence, media, and society. The "Transformation" section examines how machine behavior is reshaping our datafied society, questioning whether data is the new oil, or digital manure. The "Generative AI" section 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, discussing the trend towards high-risk optimism. The "Uncertainties" section addresses inherent unpredictability vs. strategic foresight, focusing on challenged business models, sustainability concerns, and emotional intelligence factors. In "Ethics," the book analyses generative morality and dual-use technology, covering trusted AI principles—from misuse to integrative solutions. Finally, the "Policy" section discusses governance, labor market impacts, the importance of human rights and power dynamics in generative AI. Each section 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.
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 navigate emerging uncertainties. The book is clearly structured into six key sections, each exploring distinct aspects of the relationship between artificial intelligence, media, and society. The "Transformation" section examines how machine behavior is reshaping our datafied society, questioning whether data is the new oil, or digital manure. The "Generative AI" section 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, discussing the trend towards high-risk optimism. The "Uncertainties" section addresses inherent unpredictability vs. strategic foresight, focusing on challenged business models, sustainability concerns, and emotional intelligence factors. In "Ethics," the book analyses generative morality and dual-use technology, covering trusted AI principles—from misuse to integrative solutions. Finally, the "Policy" section discusses governance, labor market impacts, the importance of human rights and power dynamics in generative AI. Each section 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.
Katalin Feher is an Associate Professor at the Ludovika University of Public Service, Hungary, and a Horizon Europe NGI Professor at Concordia University, Canada, specializing in generative AI, AI media, and AI ethics. Her research includes responsible and explainable AI and also focuses on AI’s societal impacts and governance.
Introduction 1. Transformation 2. Generative AI 3. AI Media 4. Uncertainties 5. Ethic 6. Policy Conclusion
| Erscheint lt. Verlag | 30.4.2025 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Sozialwissenschaften ► Kommunikation / Medien ► Journalistik |
| Sozialwissenschaften ► Kommunikation / Medien ► Medienwissenschaft | |
| Wirtschaft | |
| ISBN-10 | 1-032-96875-3 / 1032968753 |
| ISBN-13 | 978-1-032-96875-9 / 9781032968759 |
| Zustand | Neuware |
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