AI for Everyone?: Critical PerspectivesPieter Verdegem We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times. |
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ACLU algorithms analysis approach argues Artificial Intelligence artificial neural networks artworks assessment automation behaviour Big Data Biopolitics Body Camera Accountability Brevini Cambridge capitalist challenges chapter cognitive Communication complex computational creativity computer art context creativity Critical critique Culture cybernetic Daly data justice datafication debates Dencik digital capitalism discourse discussion Dyer-Witheford economy ethics European Commission example experiment Facebook Facial Recognition framework future global AI platforms Global South Google governance groups Haenlein human and machine impact inequalities infrastructures Internet Kaplan Last accessed law enforcement London machine learning means models Mosco myths neoliberal neural networks ontology organisations Oxford Perspectives Police political Posthuman prediction principles problem production rationalisation reconfiguration relations Retrieved risk robot social media society specific Srnicek strong AI surveillance tech technical tion Turing understanding University of Westminster University Press Verdegem Wiener workers York