Skip to main content
Enterprise AI Analysis: Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act

Enterprise AI Policy Analysis

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act

Authored by Rui-Jie Yew, Bill Marino, and Suresh Venkatasubramanian

This paper introduces a critical framework for understanding "avoision" behaviors firms might use to minimize regulatory burdens under the EU AI Act, proposing a taxonomy across three tiers of increasing AIA exposure and highlighting potential technological and organizational manifestations.

Executive Impact Summary

Understanding the EU AI Act's nuances is critical for risk mitigation and strategic compliance. Our analysis distills key insights for enterprise decision-makers.

0 Estimated Compliance Cost
0 Overhead on AI Development Costs
0 Max Penalty for Non-Compliance

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

AIA Scope
AIA Exemptions
Consequential Categories

Targeting the AIA's Scope

Firms may aim to avoid the AIA altogether by structuring their AI systems, models, or outputs to fall outside the law's explicit scope. This tier focuses on circumventing the AIA's definitions of AI systems and distancing AI elements from the EU market.

Targeting the AIA's Exemptions

This tier explores strategies where firms position themselves within the AIA's exemptions, such as for scientific research or open-source AI. The goal is to benefit from reduced regulatory burden while potentially undermining the intent of the exemptions regarding openness and competition.

Targeting Consequential Categories

Here, firms seek to reduce regulatory burden by strategically influencing how their AI systems, models, or even their operator roles are categorized under the AIA. This involves maneuvers like positioning high-risk AI as GPAI models, avoiding systemic risk classification, or shifting provider responsibilities.

Avoision Methodology Flow

Not unlawful evasion of the AIA
Run contrary to the intent of the AIA
Economically rational to pursue (e.g., reduce costs)
€400,000 Estimated cost for bringing some AI systems into compliance with AIA.

Circumventing AIA's Definition of AI Systems

Strategy Implications for Firms Potential Risks/Intent Subversion
Adding Human Veneers
  • AI systems partially run on humans.
  • Humans provide input, AI provides "advice".
  • Argument: Not "machine-based" or "autonomous" under AIA definition.
  • Humans over-rely on AI, perpetuating inaccuracies.
  • Does not reduce underlying AI harm risks.
  • Undermines AIA's intent to prevent harm.
Adding Rule-based/Traditional Software Veneers ("Reverse AI-washing")
  • AI output pre-processed by non-AI systems.
  • Argument: Falls under "simpler traditional software" or "rule-based" exceptions.
  • AI elements (e.g., classifiers) run outside EU, outputs passed to non-AI wrapper in EU.
  • AI risks passed downstream to traditional software.
  • Does not reduce risks of harm.
  • Sabotages AIA's intent of reducing harm.

Case Study: GPAI for Education - Regulatory Arbitrage

The AIA classifies "education and vocational training" as a high-risk domain. This means AI systems explicitly designed for this sector face stringent requirements.

However, firms can strategically productionize an AI system as a General-Purpose AI (GPAI) model, claiming one of its many uses is in education, rather than it being an AI system intended for the education domain. This rhetorical shift can result in the same market access and impact in the education sector but with significantly fewer regulatory requirements, thereby undermining the AIA's risk-based approach.

AIA Avoision Taxonomy Tiers

Tier 1: AIA Scope (Avoid AIA completely)
Tier 2: AIA Exemptions (Avoid all/some requirements)
Tier 3: Consequential Categories (Reduce regulatory burden)
€35,000,000 Maximum penalty for non-compliance or 7% of global revenue.

AI Policy Compliance ROI Calculator

Estimate the potential efficiency gains and cost savings from proactive AI policy compliance and strategic avoision mitigation.

Estimated Annual Savings $0
Annual Hours Reclaimed 0

Your AI Policy Red Teaming Roadmap

A structured approach to identify potential avoision strategies and bolster your AI regulation compliance.

Assess Current AI Landscape & AIA Applicability

Understand if your AI systems are in scope of the AIA, identify potential exemptions, and determine initial categorization (risk, type, operator role).

Identify Avoision Opportunities & Risks

Map current and planned AI practices against the avoision taxonomy to identify potential legal-letter-compliant but intent-defying strategies. Assess associated risks.

Develop & Implement Compliance/Avoision Strategy

Integrate appropriate "veneers", adjust AI deployment locations, leverage exemptions, or refine categorization to minimize regulatory burden while mitigating avoision-related risks.

Monitor & Adapt to Regulatory Evolution

Continuously review and adjust strategies as AIA interpretations evolve, new technical standards emerge, and enforcement efforts refine.

Ready to Secure Your AI Future?

Don't navigate the complexities of AI regulation alone. Our experts are ready to help you proactively identify risks and implement robust compliance strategies.

Ready to Get Started?

Book Your Free Consultation.

Let's Discuss Your AI Strategy!

Lets Discuss Your Needs


AI Consultation Booking