AI For Everyone

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 f...

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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.

1. Introduction: Why We Need Critical Perspectives on AI 1
Pieter Verdegem
Part 1: AI – Humans vs. Machines 19
2. Artificial Intelligence (AI): When Humans and Machines
Might Have to Coexist 21
Andreas Kaplan
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1. Introduction: Why We Need Critical Perspectives on AI 1
Pieter Verdegem
Part 1: AI – Humans vs. Machines 19
2. Artificial Intelligence (AI): When Humans and Machines
Might Have to Coexist 21
Andreas Kaplan
3. Digital Humanism: Epistemological, Ontological
and Praxiological Foundations 33
Wolfgang Hofkirchner
4. An Alternative Rationalisation of Creative AI by De-Familiarising
Creativity: Towards an Intelligibility of Its Own Terms 49
Jenna Ng
5. Post-Humanism, Mutual Aid 67
Dan McQuillan
Part 2: Discourses and Myths About AI 85
6. The Language Labyrinth: Constructive Critique on the
Terminology Used in the AI Discourse 87
Rainer Rehak
7. AI Ethics Needs Good Data 103
Angela Daly, S. Kate Devitt and Monique Mann
8. The Social Reconfiguration of Artificial Intelligence:
Utility and Feasibility 123
James Steinhoff
9. Creating the Technological Saviour: Discourses on AI in
Europe and the Legitimation of Super Capitalism 145
Benedetta Brevini
10. AI Bugs and Failures: How and Why to Render AI-Algorithms
More Human? 161
Alkim Almila Akdag Salah
Part 3: AI Power and Inequalities 181
11. Primed Prediction: A Critical Examination of the Consequences
of Exclusion of the Ontological Now in AI Protocol 183
Carrie O’Connell and Chad Van de Wiele
12. Algorithmic Logic in Digital Capitalism 203
Jernej A. Prodnik
13. ‘Not Ready for Prime Time’: Biometrics and Biopolitics
in the (Un)Making of California’s Facial Recognition Ban 223
Asvatha Babu and Saif Shahin
14. Beyond Mechanical Turk: The Work of Brazilians on Global
AI Platforms 247
Rafael Grohmann and Willian Fernandes Araújo
15. Towards Data Justice Unionism? A Labour Perspective
on AI Governance 267
Lina Dencik
The Editor and Contributors 285
Index 291
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