Red Teaming EU AI Act Avoision: Taiwan Enterprise ISO 42001 Governance Guide

Winners Consulting Services Co., Ltd. alerts Taiwanese enterprises: a new 2025 arXiv paper is the first to systematically classify corporate "avoision" behaviors, revealing at least nine types of institutional loopholes within the EU AI Act's three-tiered exposure framework that companies could exploit. For Taiwanese businesses planning to enter the EU market, this means that simply obtaining ISO 42001 certification or meeting the literal requirements of the European AI Act is no longer sufficient to withstand substantive regulatory scrutiny. Companies must simultaneously establish internal red teaming mechanisms to identify whether they are "walking a tightrope."

About the Authors and This Research

This paper was co-authored by three researchers from top academic and legal policy fields in the United States. Rui-Jie Yew focuses on AI legal liability and regulatory design; Bill Marino has long studied the intersection of technology law and policy; Suresh Venkatasubramanian is a Professor of Computer Science at Brown University and a former AI policy advisor to the White House Office of Science and Technology Policy (OSTP). He played a key role in drafting the "Blueprint for an AI Bill of Rights" and is one of the most influential scholars in the current global AI governance debate.

Published on arXiv and officially accepted at ACM FAccT 2025 (the premier conference on Fairness, Accountability, and Transparency), this paper has already accumulated 7 citations, including one high-impact citation. This citation rate is significant for AI regulatory research still in its policy formation stage, reflecting the high level of attention from both academia and industry on the question of how companies actually respond to regulation.

"Avoision" Taxonomy: A Map of Loopholes in the EU AI Act's Three-Tiered Exposure Framework

The core contribution of this paper is its first-ever systematic analysis, from an adversarial perspective, of the "avoision" strategies companies might adopt when facing the EU AI Act. The term deliberately combines "legal avoidance" and "illegal evasion" to describe corporate behaviors that "walk the legal line"—actions that may be technically legal but fundamentally undermine regulatory intent.

Key Finding 1: Each of the Three Exposure Tiers Has Different Avoision Paths

The researchers divide a company's regulatory exposure to the EU AI Act into three tiers, identifying different avoision strategies at each level:

First Tier: Scope of Application. Companies might redefine a product's purpose, adjust the deployment location of an AI system, or intentionally design it as a "human-in-the-loop" system to technically avoid being classified as a regulated AI system. For example, an automated decision-making tool could be marketed as a "decision support tool" to circumvent the threshold for high-risk AI systems.

Second Tier: Applicability of Exemptions. The EU AI Act provides exemptions for specific uses, such as national defense and scientific research. The paper points out that companies could restructure their organization or repackage their business to move a regulated application into a zero-transparency zone, enjoying exemption protection while continuing to deploy high-risk functionalities in practice.

Third Tier: Risk Category Reduction. Even if a system is classified as a regulated category, companies may still attempt to evade stricter high-risk AI regulations by trimming functionalities, deliberately reducing the system's autonomy, or contractually shifting obligations to users. This is the most subtle and difficult tier of avoision for regulators to detect.

Key Finding 2: Avoision Behaviors Exist in Both Organizational and Technical Forms

Another significant contribution of the paper is that each avoision strategy is broken down into "organizational" and "technical" implementation methods. The organizational aspect includes legal restructuring, supplier contract design, and internal division of labor. The technical aspect covers model architecture choices, data flow design, and human-computer interface configuration. This serves as a reminder to Taiwanese companies that relying solely on legal teams to review compliance documents, without involving technical teams for system-level audits, will not effectively identify unintentional avoision behaviors.

Furthermore, the paper explicitly states that the purpose of this taxonomy is not to provide a guide for circumvention but to offer a "red teaming framework" for regulators, policy researchers, and corporate compliance teams. It helps all parties anticipate potential corporate behaviors to design more resilient regulatory mechanisms and internal governance processes.

Implications for AI Governance in Taiwan: Exposing Three Common Blind Spots for Local Enterprises

The most direct implication of this research for Taiwanese companies is that it reveals three common blind spots in current compliance preparations, especially for those pursuing ISO 42001 certification or planning to enter the EU market.

Blind Spot 1: Equating "Meeting Documentation Requirements" with "Substantive Compliance." The phenomenon of avoision described in the paper is essentially an evolved version of superficial compliance. If Taiwanese companies implementing ISO 42001 only aim to "complete risk assessment documents" without establishing mechanisms to regularly review the actual decision boundaries of their AI systems, they may unknowingly let some systems drift into the avoision zone. After the EU's full enforcement in 2027, market access risk will shift from document review to behavioral audits.

Blind Spot 2: Overlooking the Shifting of Obligations in the Supply Chain. The paper specifically notes that companies may use contract design to shift their EU AI Act obligations to downstream users or system integrators. If Taiwanese SMEs act as suppliers of AI systems, they may inherit compliance obligations through contractual requirements from their EU clients, even if they do not directly enter the EU market themselves. This is an aspect that has been relatively under-discussed in Taiwan's draft AI Basic Act, and companies should identify their position in the AI supply chain early on.

Blind Spot 3: The Duality of Statutory Interpretation. The EU AI Act contains significant room for interpretation. Some companies see this as compliance flexibility, while some regulators may view it as a potential entry point for enforcement. The paper's red teaming framework reminds us that companies should proactively assess whether their interpretation of the EU AI Act's provisions could be considered avoision by regulators, rather than just legitimate planning. The risk assessment requirement in ISO 42001 Clause 6.1 should be expanded to include the dimension of "regulatory interpretation risk."

How Winners Consulting Services Helps Taiwanese Enterprises Build Red Teaming Capabilities

Winners Consulting Services Co., Ltd. assists Taiwanese enterprises in establishing AI management systems that comply with ISO 42001 and the EU AI Act, conducting AI risk classification assessments, and ensuring that artificial intelligence applications adhere to Taiwan's AI Basic Act regulations. To address the avoision risks revealed in this paper, we offer the following three concrete action recommendations:

1. Implementing an "AI System Compliance Boundary Audit" Mechanism: Based on the three-tiered exposure framework from this paper, systematically review the actual classification of a company's existing AI systems under the EU AI Act. This confirms whether there are unintentional ambiguities in scope definition (Tier 1), misuse of exemptions (Tier 2), or under-reporting of risk categories (Tier 3), and incorporates the findings into the ISO 42001 compliance documentation system.
2. Establishing a Cross-Departmental Red Teaming Group: Following the paper's adversarial analysis method, form an internal red team with participation from legal, technical, and business departments. Periodically (we recommend semi-annually), simulate a regulator's review perspective to proactively identify potential organizational and technical avoision paths and propose improvements, ensuring that compliance mechanisms do not lag behind rapid business expansion.
3. Conducting Contract-Level Reviews of AI Supply Chain Obligations: Systematically inventory AI-related contracts with EU clients or partners to identify EU AI Act obligations assumed through contract design. In accordance with the supplier management requirements of ISO 42001 Clause 8, establish a supply chain compliance tracking mechanism to avoid shouldering unexpected compliance responsibilities due to the contractual shifting of obligations after the regulation is fully enforced.

Frequently Asked Questions

What is "avoision"? Should Taiwanese enterprises really be concerned about it in AI compliance?

"Avoision" is a term coined in this paper, combining "avoidance" and "evasion," to describe corporate actions that operate on the edge of the law—formally legal but contrary to regulatory intent. Taiwanese enterprises should indeed be concerned. The EU AI Act is expected to be fully enforced by 2027, at which point regulatory focus will shift from documentation to the actual behavior of AI systems. If a company's AI system classification or risk assessment is deemed "avoision" by regulators, it could face reclassification orders or even fines of 3% to 6% of its annual turnover. It is advisable for companies to start reviewing their compliance strategies from an adversarial perspective now, rather than waiting to react in 2027.

When implementing ISO 42001, where do Taiwanese enterprises most often have compliance gaps?

Based on our practical consulting experience, the most common compliance gaps appear in risk classification assessment and continuous monitoring. Many companies complete their initial risk registers when implementing ISO 42001 but fail to establish a mechanism for regularly updating the risk status of their AI systems. Consequently, as a system's functionality expands, its actual risk level may increase while its documentation remains unchanged. This creates a discrepancy with the continuous risk management obligation required by Article 9 of the EU AI Act and is a prime example of organizational "avoision." Although Taiwan's draft AI Basic Act has not yet specified penalties, businesses should benchmark against EU AI Act standards and establish dynamic risk tracking mechanisms early.

What specific protections does ISO 42001 certification offer against the "avoision" risks of the EU AI Act?

ISO 42001 is an AI management system standard, not a direct proof of regulatory compliance, but its requirements can significantly reduce the risk of unintentional "avoision." Specifically, clauses 6.1 (Risk Assessment), 8.4 (AI System Lifecycle Management), and 9.1 (Performance Evaluation), when fully implemented, establish a systematic compliance tracking framework. The standard requires traceable risk assessment records, which corresponds to the EU AI Act's obligation for high-risk systems to retain technical documentation for at least 10 years. We recommend that after obtaining ISO 42001 certification, companies use the three-tiered exposure framework from this paper to conduct an extended audit, ensuring their certification is not merely a superficial compliance exercise.

How much time and resources are needed to establish a red teaming mechanism?

Establishing a basic internal red teaming mechanism typically takes 3 to 6 months to set up and 6 to 12 months to achieve stable operation. In terms of resources, a minimum configuration would involve one designated person from each of the legal, technical, and business departments, dedicating approximately 8 to 16 hours per quarter to scenario-based testing. If a company is concurrently pursuing ISO 42001 certification, red teaming activities can be integrated into the internal audit process to minimize additional resource allocation. Winners Consulting Services provides a structured red teaming framework and scenario library to help companies establish testing documentation that meets EU AI Act scrutiny standards from the outset, avoiding rework.

Why choose Winners Consulting Services for AI governance issues?

Winners Consulting Services Co., Ltd. is one of the few professional AI governance firms in Taiwan with practical experience in both ISO 42001 implementation and EU AI Act regulatory analysis. Our consulting team continuously tracks EU digital policy developments, enabling us to translate the latest academic research, such as the "avoision" taxonomy, into actionable compliance plans for Taiwanese enterprises. We offer a full range of services, from current-state diagnostics and risk classification to ISO 42001 management system design and certification guidance. We help companies establish an internationally compliant AI governance framework within 7 to 12 months, ensuring they are prepared before the EU AI Act's full enforcement in 2027 and effectively mitigating the risk of fines up to 6% of annual turnover.