About This Book
The Means of Prediction (2025) reveals that artificial intelligence isn’t an inevitable force beyond our control, but rather a tool shaped by whoever holds its reins. Through accessible explanations of how AI functions, it exposes the real tension at play: not humans versus machines, but a struggle between those who own the technology and everyone else. It argues that we need democratic oversight of this technology now, before those in power can cement their advantage.
Who Should Read This?
- Tech professionals seeking to understand AI’s social and economic implications
- Business leaders curious about the dynamics shaping AI’s development and deployment
- Students in economics, computer science, or social sciences exploring the intersection of technology and society
About the Author
Maximilian Kasy is a professor of economics at the University of Oxford, where he coordinates the Machine Learning and Economics Group and teaches courses on the foundations of machine learning. He has a PhD from UC Berkeley and previously held appointments at UCLA and Harvard University. His research focuses on the social foundations of statistics and machine learning, algorithmic decision-making, economic inequality, and taxation policy.
