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Automation and Autonomy : Labour, Capital and Machines in the Artificial Intelligence Industry - James Steinhoff

Automation and Autonomy

Labour, Capital and Machines in the Artificial Intelligence Industry

By: James Steinhoff

Paperback | 23 June 2022

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 1. Introduction: Automation, Autonomy and Artificial Intelligence

Your Means of Production



Revolutions



AI in the Real World



Machinery and Marxists



The Central Argument



Computing Machinery



Recursion



What this Book is Not



Chapter Outline

2. Labour, Capital, Machine: Marxist Theory and Technology

Introduction



Political Economy



Marx on Value and Labour



Marx on Machines



The Fragment on Machines



Marxism(s)



Soviet Marxism



Western Marxism



Labour Process Theory



The New Reading of Marx



Cybernetic Capitalism



Conclusion

3. Post-Operaismo and the New Autonomy of Immaterial Labour

Introduction



From Operaismo to Post-operaismo



Post-operaismo



Immaterial Labour Theory



Human-Machine Hybridization



Abstract Cooperation



New Autonomy from Capital



The Technological Argument for New Autonomy



Conclusion
4. Industrializing Intelligence: A Political Economic History of the AI Industry

Introduction



The Historical Context



The Advent of AI Research



The AI Winter



Expert Systems: The First Era of the AI Industry



Strategic Computing: AI and the State Part I



The Decline of Expert Systems



The Rise of Machine Learning



Deep Learning: The Second Era of the AI Industry



Conclusion

5. Machine Learning and Fixed Capital: The Contemporary AI Industry

Introduction



Charting the AI Industry



AI Capital Composition



            AI Tech Giants



            AI Dinosaurs



            AI Startups



            AI Think Tanks



            National AI Strategies: AI and the State Part II



AI Capital Concentration



Open Source AI, Clouds, AI Chips



Labour in the AI Industry



Labour Composition: Race and Gender



AI Labour Organization



Conclusion

6. A Dark Art: The Machine Learning Labour Process

Introduction



The Machine Learning Labour Process



            Stage 1: Data Processing



            Stage 2: Model Building



            Stage 3: Deployment



The Commodity Form of AI



Empirical Control



AI as Automation



The Automation of AI Work



Automated Machine Learning



Synthetic Automation



Other Forms of Automation in Machine Learning



Conclusion

7.New Autonomy and Work in the AI Industry

Introduction



AI Work and Human-Machine Hybridization



AI Work and Abstract Cooperation



AI Work and New Autonomy



Autonomy for What?



Conclusion
8. Conclusion: Harry Braverman Overdrive

Introduction



Theoretical Synthesis



Automation on Steroids



Optimism and Agency



Conclusion

Industry Reviews
"The author is very clear and concise in showing the reader what his objectives are and are not, and in guiding the reader through the arguments and evidence. He is explicit in reviewing what he has completed and what the next steps will be. The reader should be aware that this book is basically a philosophical treatise. ... It is worth the effort to read this book." (Anthony J. Duben, Computing Reviews, August 1, 2022)

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