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

 1. Introduction: Automation, Autonomy and Artificial Intelligence

Your Means of Production

Revolutions

AI in the Real World

Machinery and Marxists

Computing Machinery

Recursion

Chapter Outline

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

Political Economy

Marx on Value and Labour

The Fragment on Machines

Marxism(s)

Western Marxism

Labour Process Theory

Cybernetic Capitalism

Conclusion

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

Introduction

From Operaismo to Post-operaismo

Immaterial Labour Theory

Human-Machine Hybridization

New Autonomy from Capital

The Technological Argument for New Autonomy

Introduction

The Advent of AI Research

The AI Winter

Strategic Computing: AI and the State Part I

The Decline of Expert Systems

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 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 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

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 New Autonomy

Autonomy for What?

Introduction

Automation on Steroids

Optimism and Agency