Readable, high-signal books on how AI is built, deployed, governed, overhyped, and absorbed into work and culture.
Karen Hao · 2025
Ethan Mollick · 2024
A practical general-reader guide to working with AI as collaborator, coach, and cognitive tool.
A deeply reported account of modern generative AI through OpenAI, labor, infrastructure, extraction, and institutional power.
A still-relevant narrative account of bias, reward design, robustness, and the problem of aligning machine learning with human values.
Christopher Summerfield · 2024
Melanie Mitchell · 2019
Kate Crawford · 2020
Brian Christian · 2020