Five Books Every AI Practitioner Should Read

Our team's curated reading list for building more ethical, effective AI systems.

Beyond the papers and tutorials, these five books have shaped how our team thinks about building AI responsibly.

  1. Weapons of Math Destruction by Cathy O'Neil — the classic introduction to how models can harm at scale
  2. Atlas of AI by Kate Crawford — on the material costs of machine learning infrastructure
  3. Race After Technology by Ruha Benjamin — on how design choices encode existing inequities
  4. The Alignment Problem by Brian Christian — a lucid introduction to AI safety concerns
  5. Design Justice by Sasha Costanza-Chock — a framework for community-led technology design

All are available via our partner library programme — members can borrow digital copies for free.