梳理企业规避欧盟AI法案监管的策略，为政策审查提供对抗性框架。
Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
- 按监管暴露程度分三层次，系统分类企业规避行为
- 识别出组织与技术层面的具体规避形式，如合规边缘操作
- 帮助监管者预判企业应对策略，适合政策制定与合规研究者
AI监管格局正逐步成型，尤以欧盟人工智能法案（AIA）为代表。到2027年，AIA将全面实施，企业开始调整行为以应对新法规。本文提出一个框架与分类体系，用于分析“规避”（avoision）——即游走在合法规避与逃避之间的行为——企业可能采取的策略，以最小化AIA带来的监管负担。我们依据被监管主体活动是否在AIA范围内、是否被豁免条款覆盖、或是否被归入高监管类别，构建了三个递增暴露层级，并在每个层级中明确组织与技术层面的规避表现形式。目标是为AIA及未来AI监管提供对抗性测试（red teaming）框架，辅助预见和应对此类行为。
原文摘要 · Abstract (English)
The shape of AI regulation is beginning to emerge, most prominently through the EU AI Act (the "AIA"). By 2027, the AIA will be in full effect, and firms are starting to adjust their behavior in light of this new law. In this paper, we present a framework and taxonomy for reasoning about "avoision" -- conduct that walks the line between legal avoidance and evasion -- that firms might engage in so as to minimize the regulatory burden the AIA poses. We organize these avoision strategies around three "tiers" of increasing AIA exposure that regulated entities face depending on: whether their activities are (1) within scope of the AIA, (2) exempted from provisions of the AIA, or are (3) placed in a category with higher regulatory scrutiny. In each of these tiers and for each strategy, we specify the organizational and technological forms through which avoision may manifest. Our goal is to provide an adversarial framework for "red teaming" the AIA and AI regulation on the horizon.
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