Auditing AI by Marquand House Collective
How tech companies, journalists, and policymakers can prevent AI decision-making from going wrong.
The Marquand House Collective comprises eleven experts in AI auditing spanning computing, law, policy, social science, and journalism. Members coined the term “algorithm audit” in 2014. The full group convened in 2024 at Marquand House in Princeton, New Jersey.
| SKU | Unavailable |
| ISBN 13 | 9780262051729 |
| ISBN 10 | 0262051729 |
| Title | Auditing AI |
| Author | Marquand House Collective |
| Series | Mit Press Essential Knowledge Ser |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | MIT Press Ltd |
| Year published | 2026-04-21 |
| Number of pages | 216 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |