Co-authored with computational geneticist Christopher E. Mason, The Age of Prediction examines how AI, expanding datasets, and powerful algorithms are transforming fields from finance and medicine to public safety and government. The book explores a central paradox: better predictions can improve decisions, but they can also change behavior and create risks no model anticipated. It argues that progress depends not only on building more powerful predictive systems, but also on understanding their limits.
