
Auditing AI by Marquand House Collective
How tech companies, journalists, and policymakers can prevent AI decision-making from going wrong.-
Behavioral Insights
-
Cloud Computing, revised and updated edition
-
Phenomenology
-
Algorithms
-
Artificial General Intelligence
-
Visual Culture
-
Recommendation Engines
-
Cyborg
-
Carbon Removal
-
Inflation
-
Tech Monopoly
-
Espionage
-
Plastics
-
Universal Basic Income
-
Supernova
-
Cultural Appropriation
-
Large Language Models
-
Bilingualism
-
Standards
-
Galaxies
-
Endangered Languages
-
Blockchain Governance
-
Cryptography
-
Nuclear Weapons
-
Hate Speech
-
Annotation
-
Peer Production
-
Cannabinoids
-
Biological Rhythms
-
Differential Privacy
-
The Internet Stack
-
Animal Rights
-
Gain of Function
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 |
































