Documenting Deployment with Fabric: A Repository of Real-World AI Governance
This provides a practical tool for researchers to study AI governance effectiveness, though it is incremental as it builds on existing risk-focused literature.
The researchers tackled the lack of real-world documentation for AI governance by creating Fabric, a repository of 20 deployed AI use cases with visual diagrams and descriptions, which revealed gaps and patterns in human oversight.
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.