建立真实AI部署案例库，揭示实际治理机制
Documenting Deployment with Fabric: A Repository of Real-World AI Governance
- 通过访谈收集20个真实AI应用案例，构建治理档案
- 提炼出人工监督的通用模式与治理短板
- 适合研究者分析真实世界AI治理效果
人工智能正广泛应用于金融、交通管理、创意写作等领域。学术研究多关注AI带来的风险与危害，却忽视其实际部署中的治理机制。本文提出Fabric——一个公开的已部署AI用例仓库，通过与从业者进行半结构化访谈，收集了20个真实案例，并共同设计了AI工作流图示。研究梳理了实践中用于保障AI使用的监督机制与防护措施。Fabric包含案例的可视化流程图与系统描述，帮助识别治理盲点，发现人类监督的共性模式。该仓库旨在为研究者提供可扩展、持续演进的工具，以评估AI治理的有效性。
原文摘要 · Abstract (English)
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.
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