Documenting Deployment with Fabric: A Repository of Real-World AI Governance
Artificial intelligence (AI) is increasingly integrated into society, from financial services and traffic management to creative writing. Academic literature on the deployment of AI has mostly focused on the risks and harms that result from the use of AI. We introduce Fabric, a publicly available repository of deployed AI use cases to outline their governance mechanisms. Through semi-structured interviews with practitioners, we collect an initial set of 20 AI use cases. In addition, we co-design diagrams of the AI workflow with the practitioners. We discuss the oversight mechanisms and guardrails used in practice to safeguard AI use. The Fabric repository includes visual diagrams of AI use cases and descriptions of the deployed systems. Using the repository, we surface gaps in governance and find common patterns in human oversight of deployed AI systems. We intend for Fabric to serve as an extendable, evolving tool for researchers to study the effectiveness of AI governance.
Authors
- Umang Bhatt (ORCID: https://orcid.org/0000-0002-4611-1668)
- Katherine M. Collins (ORCID: https://orcid.org/0000-0002-7032-716X)
- Mackenzie Jorgensen (ORCID: https://orcid.org/0009-0001-1274-1733)
- Adrian Weller (ORCID: https://orcid.org/0000-0003-1915-7158)
- Jeffrey J. Powers (ORCID: https://orcid.org/0000-0003-3653-3880)
- Lujain Ibrahim (ORCID: https://orcid.org/0000-0002-0395-784X)
- AnuradhaKunal Shah
- Kendall Brogle
- Hatim Abdulhussein
- Petra Ivanovic
- Noah Broestl
- Gabriel Piles
- Paul Dongha
Institutions
- University of Cambridge (GB)
- University of Oxford (GB)
- Hospital Universitário Oswaldo Cruz (BR)
- Healthwise (US)
- The Alan Turing Institute (GB)
- Surrey and Sussex Healthcare NHS Trust (GB)
- New York University (US)
- PA Consulting Group (GB)
Publication Details
- Journal
- Proceedings of the AAAI/ACM Conference on AI Ethics and Society
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1609/aies.v8i2.36636
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Alan Turing Institute
- Leverhulme Trust
- King's College London
- European Commission
- Cambridge Trust
- Engineering and Physical Sciences Research Council
- King's College Cambridge, University of Cambridge