[Air-L] New book: AI for Everyone? Critical Perspectives

[Pieter Verdegem]

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


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