Verdegem, P. (ed.) 2021. AI for Everyone? Critical Perspectives. London: University of Westminster Press. 310 pages The book is published open access and available via: https://www.uwestminsterpress.co.uk/site/books/e/10.16997/book55/ 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 (AI) 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. CHAPTERS: Introduction: Why We Need Critical Perspectives on AI Pieter Verdegem Artificial Intelligence (AI): When Humans and Machines Might Have to Coexist Andreas Kaplan Digital Humanism: Epistemological, Ontological and Praxiological Foundations Wolfgang Hofkirchner An Alternative Rationalisation of Creative AI by De-Familiarising Creativity: Towards an Intelligibility of Its Own Terms Jenna Ng Post-Humanism, Mutual Aid Dan McQuillan The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse Rainer Rehak AI Ethics Needs Good Data Angela Daly, S. Kate Devitt and Monique Mann The Social Reconfiguration of Artificial Intelligence: Utility and Feasibility James Steinhoff Creating the Technological Saviour: Discourses on AI in Europe and the Legitimation of Super Capitalism Benedetta Brevini AI Bugs and Failures: How and Why to Render AI-Algorithms More Human? Alkim Almila Akdag Salah Primed Prediction: A Critical Examination of the Consequences of Exclusion of the Ontological Now in AI Protocol Carrie O’Connell and Chad Van de Wiele Algorithmic Logic in Digital Capitalism Jernej A. Prodnik 'Not Ready for Prime Time': Biometrics and Biopolitics in the (Un)Making of California’s Facial Recognition Ban Asvatha Babu and Saif Shahin Beyond Mechanical Turk: The Work of Brazilians on Global AI Platforms Rafael Grohmann and Willian Fernandes Araújo Towards Data Justice Unionism? A Labour Perspective on AI Governance Lina Dencik The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW. This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system.