Documenting Deployment with Fabric: A Repository of Real-World AI Governance

TL;DR

Fabric is a publicly accessible repository documenting real-world AI deployment cases, focusing on governance mechanisms, oversight, and guardrails, to aid research and improve AI governance practices.

Contribution

This paper introduces Fabric, a novel repository of 20 real-world AI use cases with governance diagrams, highlighting common oversight patterns and gaps in AI governance.

Findings

Identified common oversight patterns in deployed AI systems

Revealed gaps in current AI governance practices

Provided visual diagrams of AI workflows for transparency

Abstract

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.