Crab Research
治理与监管

AI 智能体部署中的监管问责与开源许可条款:监管缺口分析

Regulatory Accountability vs. Open Source License Terms in AI Agent Deployment: A Regulatory Gap Analysis

Li, Alex Chengyu

工作论文 · Zenodo首次公开

研究概述

比较开源许可条款与金融监管要求,分析 AI 智能体部署中的问责缺口。

原文摘要(英文)

Financial institutions increasingly deploy AI systems built on open source components released under permissive licenses (Apache 2.0, MIT). These licenses contain broad warranty disclaimers drafted for conventional software libraries, not for autonomous AI agents making consequential financial decisions. We conduct a regulatory gap analysis, placing open source license terms next to the supervisory expectations of major financial regulators (OCC, FINRA, FCA, MAS) and the EU AI Act's open source carve-out. The analysis documents tensions across four dimensions: warranty, indemnification, audit, and attribution. The license disclaims all liability; the regulator assigns full accountability to the deploying institution; no framework addresses the intersection. We further identify agent identity as a prerequisite for accountability allocation and propose directions for a tiered accountability framework.

公开摘要来源

Social SciencesGovernance & regulationopen source AIApache 2.0financial services regulationAI agent identityregulatory gap analysisEU AI Actwarranty disclaimerAI accountability
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