Generative AI, Media, and Society

Author: Katalin Feher

Publisher finelybook 出版社:‏ ‎ Routledge

Edition 版本:‏ 1st edition

Publication Date 出版日期:‏ 2025-04-28

Language 语言: English

Print Length 页数: 176 pages

ISBN-10: 1032968737

ISBN-13: 9781032968735

Book Description

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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