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  • Generative AI, Media, and Society

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

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    A termék adatai:

    • Kiadás sorszáma 1
    • Kiadó Routledge
    • Megjelenés dátuma 2025. április 28.

    • ISBN 9781032968735
    • Kötéstípus Puhakötés
    • Terjedelem192 oldal
    • Méret 234x156 mm
    • Súly 360 g
    • Nyelv angol
    • 775

    Kategóriák

    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.

    Több

    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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