ISBN:
9783030938024
Language:
English
Pages:
1 Online-Ressource (v, 87 Seiten)
Series Statement:
SpringerBriefs in political science
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Communication in politics.
;
Comparative government.
;
Political sociology.
;
Artificial intelligence.
;
Science—Social aspects.
Abstract:
Introduction -- Fake News and Disinformation: Where Are We Now? -- On Human Susceptibility: Assessing Potential Threats -- From GANs to Deepfakes: Getting the Characteristics Right -- On Alarmism: Between Infodemic and Epistemic Anarchy -- I CAN Do It: From GANs and Deepfakes to Art -- Regulation: Public, Private, Autonomous? -- Broader Implications: Politics and Digital Posthumanism -- Conclusion.
Abstract:
This book examines the use and potential impact of deepfakes, a type of synthetic computer-generated media, primarily images and videos, capable of both creating artificial representations of non-existent individuals and showing actual individuals doing things they did not do. As such, deepfakes pose an obvious threat of manipulation and, unsurprisingly, have been the subject of a great deal of alarmism in both the news media and academic articles. Hence, this book sets out to critically evaluate potential threats by analyzing human susceptibility to manipulation and using that as a backdrop for a discussion of actual and likely uses of deepfakes. In contrast to the usual threat narrative, this book will put forward a multi-sided picture of deepfakes, exploring their potential and that of adjacent technologies for creative use in domains ranging from film and advertisement to painting. The challenges posed by deepfakes are further evaluated with regard to present or forthcoming legislation and other regulatory measures. Finally, deepfakes are placed within a broader cultural and philosophical context, focusing primarily on posthumanist thought. Therefore, this book is a must-read for researchers, students, and practitioners of political science and other disciplines, interested in a better understanding of deepfakes.
DOI:
10.1007/978-3-030-93802-4
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