AI for Everyone?
Free
Description
Contents
Reviews
Language
English
ISBN
978-1-914386-16-9
1. Introduction: Why We Need Critical Perspectives on AI
Part 1: AI – Humans vs. Machines
2. Artificial Intelligence (AI): When Humans and Machines Might Have to Coexist
3. Digital Humanism: Epistemological, Ontological and Praxiological Foundations
4. An Alternative Rationalisation of Creative AI by De-Familiarising Creativity: Towards an Intelligibility of Its Own Terms
5. Post-Humanism, Mutual Aid
Part 2: Discourses and Myths About AI
6. The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse
7. AI Ethics Needs Good Data
8. The Social Reconfiguration of Artificial Intelligence: Utility and Feasibility
9. Creating the Technological Saviour: Discourses on AI in Europe and the Legitimation of Super Capitalism
10. AI Bugs and Failures: How and Why to Render AI-Algorithms More Human?
Part 3: AI Power and Inequalities
11. Primed Prediction: A Critical Examination of the Consequences of Exclusion of the Ontological Now in AI Protocol
12. Algorithmic Logic in Digital Capitalism
13. ‘Not Ready for Prime Time’: Biometrics and Biopolitics in the (Un)Making of California’s Facial Recognition Ban
14. Beyond Mechanical Turk: The Work of Brazilians on Global AI Platforms
15. Towards Data Justice Unionism? A Labour Perspective on AI Governance
The Editor and Contributors
Index
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