Civic Tech Field Guide
Donate

https://mitpress.mit.edu/9780262051729/auditing-ai

Auditing AI

How tech companies, journalists, and policymakers can prevent AI decision-making from going wrong.

Active
Since 2026
Massachusetts Institute of Technology (MIT)

Auditing AI is a first-of-its-kind exploration of why and how to audit artificial intelligence systems. It offers a simple roadmap for using AI audits to make product and policy changes that benefit companies and the public alike. The book aims to convince readers that AI systems should be subject to robust audits to protect all of us from the dangers of these systems. Readers will come away with an understanding of what an AI audit is, why AI audits are important, key components of an audit that follows best practices, how to interpret an audit, and the available choices to act on an audit's results.

Project type
Document
Founded
2026
Language(s)
English
Added
2026-04-23
Last modified
2026-07-12T16:45:31.000Z

Additional details

Formats
books
Number of integrations
0
Geographic focus
Global

More in AI Auditing

Generative AI Accountability Indicators (GAIA)

Soon Ranking Digital Rights will release the Generative AI Accountability Scorecard, evaluating major consumer-facing generative AI services’ respect for the human rights to privacy, non-discrimination, freedom of expression, and freedom of information.

740 15th Street, N.W., Suite 900 Washington, DC 20005
2025