Book Description
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.
This open book is licensed under a Creative Commons License (CC BY-NC-ND). You can download AI for Everyone? ebook for free in PDF format (17.2 MB).
Table of Contents
Chapter 1
Introduction: Why We Need Critical Perspectives on AI
Chapter 2
Artificial Intelligence (AI): When Humans and Machines Might Have to Coexist
Chapter 3
Digital Humanism: Epistemological, Ontological and Praxiological Foundations
Chapter 4
An Alternative Rationalisation of Creative AI by De-Familiarising Creativity: Towards an Intelligibility of Its Own Terms
Chapter 5
Post-Humanism, Mutual Aid
Chapter 6
The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse
Chapter 7
AI Ethics Needs Good Data
Chapter 8
The Social Reconfiguration of Artificial Intelligence: Utility and Feasibility
Chapter 9
Creating the Technological Saviour: Discourses on AI in Europe and the Legitimation of Super Capitalism
Chapter 10
AI Bugs and Failures: How and Why to Render AI-Algorithms More Human?
Chapter 11
Primed Prediction: A Critical Examination of the Consequences of Exclusion of the Ontological Now in AI Protocol
Chapter 12
Algorithmic Logic in Digital Capitalism
Chapter 13
'Not Ready for Prime Time': Biometrics and Biopolitics in the (Un)Making of California's Facial Recognition Ban
Chapter 14
Beyond Mechanical Turk: The Work of Brazilians on Global AI Platforms
Chapter 15
Towards Data Justice Unionism? A Labour Perspective on AI Governance