合成数据在智能代理时代形成镜像，引发信任与问责危机，亟需针对性监管。
The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
- 将合成数据视为独立监管类别，而非新建法律体系
- 合成数据可能扭曲现实，导致隐私与政策制定风险
- 适合关注AI治理、数据合规与政策设计的研究者
合成数据通过智能生成以模仿或补充真实世界数据，正被广泛使用。随着智能代理的普及与合成数据的融合，形成了一种‘合成镜像’，它不仅表征现实，更可能造成现实扭曲，引发信任与问责机制的缺失。本文探讨了合成数据生成对隐私保护及政策制定带来的深远影响，并强调必须建立新的政策工具与法律框架调整，以保障依赖合成数据的AI代理具备适当的可信度与责任性。与其构建全新制度，更务实的做法是针对现有框架进行精准修订，将合成数据明确列为具有独特属性的监管类别。
原文摘要 · Abstract (English)
Synthetic data, which is artificially generated and intelligently mimicking or supplementing the real-world data, is increasingly used. The proliferation of AI agents and the adoption of synthetic data create a synthetic mirror that conceptualizes a representation and potential distortion of reality, thus generating trust and accountability deficits. This paper explores the implications for privacy and policymaking stemming from synthetic data generation, and the urgent need for new policy instruments and legal framework adaptation to ensure appropriate levels of trust and accountability for AI agents relying on synthetic data. Rather than creating entirely new policy or legal regimes, the most practical approach involves targeted amendments to existing frameworks, recognizing synthetic data as a distinct regulatory category with unique characteristics.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。