Summary

Daniel J. Barrett, a software engineer and technical writer with seven years at Google, gathers wisdom from over 100 Google engineers on the effects software has once it reaches a world that's complex, multicultural, and hard to predict. The book moves through building AI systems that work fairly for everyone, incorporating social context into design decisions, anticipating ripple effects before launch, protecting privacy in data collection, and measuring and reducing a codebase's carbon footprint, before closing on how to build this thinking into an organization's engineering culture. Its case studies come from real Google projects, not hypotheticals, and the throughline is that correctness and responsibility are separate questions an engineer has to answer.

Target Readers

• Engineers making ethical design tradeoffs on an AI or data product who want case studies, not abstract ethics theory
• Engineering leaders trying to build responsible-engineering practices into a team's normal process rather than a one-off review
• Developers accountable for a product's privacy or environmental impact who need concrete measurement approaches

Colophon

Publisher

オライリー・ジャパン

ISBN

978-4-8144-0158-1

Published

Mar 2026

List price

¥3,520incl. taxMay differ from the actual selling price on Amazon