Augmented Exploitation : Artificial Intelligence, Automation and Work / edited by Phoebe V. Moore and Jamie Woodcock.

Cover -- Contents -- Figures -- Series Preface -- Acknowledgements -- Introduction: AI: Making it, Faking it, Breaking it -- Phoebe V. Moore and Jamie Woodcock -- Part I: Making It -- 1. AI Trainers: Who is the Smart Worker Today? -- Phoebe V. Moore -- 2. Work Now, Profit Later: AI Between Capital, Labour and Regulation -- Toni Prug and Pasko Bilic -- 3. Delivering Food on Bikes: Between Machinic Subordination and Autonomy in the Algorithmic Workplace -- Benjamin Herr -- 4. Putting the Habitus to Work: Digital Prosumption, Surveillance and Distinction -- Eduard Muller

5. The Power of Prediction: People Analytics at Work -- Uwe Vormbusch and Peter Kels -- Part II: Faking It -- 6. Manufacturing Consent in the Gig Economy -- Luca Perrig -- 7. Automated and Autonomous? Technologies Mediating the Exertion and Perception of Labour Control -- Beatriz Casas Gonzalez -- 8. Can Robots Produce Customer Confidence? Contradictions Among Automation, New Mechanisms of Control and Resistances in the Banking Labour Process -- Giorgio Boccardo -- Part III: Breaking It -- 9. It Gets Better with Age: AI and the Labour Process in Old and New Gig-Economy Firms -- Adam Badger

10. Self-Tracking and Sousveillance at Work: Insights from Human-Computer Interaction and Social Science -- Marta E. Cecchinato, Sandy J.J. Gould and Frederick Harry Pitts -- 11. Breaking Digital Atomisation: Resistant Cultures of Solidarity in Platform-Based Courier Work -- Heiner Heiland and Simon Schaupp -- 12. Resisting the Algorithmic Boss: Guessing, Gaming, Reframing and Contesting Rules in App-Based Management -- Joanna Bronowicka and Mirela Ivanova -- Notes on Contributors -- Index

Artificial intelligence should be changing society, not reinforcing capitalist notions of work.

Online resource; title from digital title page (viewed on March 22, 2021).

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