EU AI Act: Regulatory Gap Analysis & Improvement Proposals
Publication-ready version — 2026-07-04
Scope: Regulation (EU) 2024/1689 (the EU AI Act) — single-document internal consistency and structural gap analysis
Disclaimer: This report has been produced by an AI-assisted advanced analysis pipeline. All findings, citations, and proposed regulatory language require review and validation by qualified legal counsel before external disclosure, submission to a legislative body, or use in formal regulatory proceedings.
ANALYSIS SUMMARY
Athena Lex reads a single regulatory instrument end to end and checks it against itself — looking for internal contradictions, provisions that are never referenced elsewhere, vague or circular definitions, structural weaknesses, and imbalances between rights and obligations. No second document is required: the review is entirely self-contained, surfacing defects that a linear human read-through of a text this size is unlikely to catch.
| Analysis Summary |
Count |
| Defect categories identified | 19 |
| Specific regulatory amendments proposed | 25 |
| Categories touching enforcement/jurisdiction conflicts | 4 |
| Categories touching fundamental rights implementation | 3 |
| Orphaned or isolated governance entities flagged | 20+ |
| Open issues requiring legal counsel confirmation | 1 |
The work required a 1-hour scoping consultation to define the source instrument and analytical depth, 4 hours for preparation and execution of the automated analytical workflow across the full regulation, and an additional 1-hour consultation to review the resulting findings prior to publication.
EXECUTIVE SUMMARY
The analysis reveals 19 categories of defects requiring 25 specific regulatory amendments across the EU AI Act. The most critical fixes address enforcement coordination between the AI Office and national market surveillance authorities, fundamental rights protection implementation mechanisms, proportionate compliance frameworks for SMEs and startups, individual remedy and compensation systems, cross-border enforcement standardisation, and technology-adaptation mechanisms for regulatory evolution. Taken together, the proposed amendments would move the Act from a framework with significant implementation gaps toward a more internally consistent, enforceable system — one that remains capable of adapting to technological change while protecting fundamental rights and proportionate innovation.
DEFECT-BY-DEFECT ANALYSIS
1. INTERNAL CONTRADICTIONS
1.1 Fundamental Rights Authority Powers vs. Market Surveillance Exclusive Competence
Evidence 1: Article 77 grants fundamental rights authorities power to "request technical testing through market surveillance authorities" while Article 70 establishes market surveillance authorities' exclusive enforcement competence.
Evidence 2: "Market Surveillance Authority" shows MUST_COMPLY_WITH relationships but lacks clear coordination protocols with fundamental rights bodies.
Risk: Jurisdictional conflicts and enforcement gaps when fundamental rights violations intersect with technical compliance.
Proposed Regulatory Amendment:
Article 77(3a): Where fundamental rights authorities identify potential violations requiring technical assessment, market surveillance authorities shall conduct such testing within 30 days and provide full technical findings. Fundamental rights authorities retain competence to impose remedies within their existing powers based on such findings.
1.2 General-Purpose AI Model Enforcement Contradiction
Evidence 1: Article 64 grants AI Office "exclusive competence" over general-purpose AI models, but Article 70 establishes national market surveillance authorities with general enforcement powers.
Evidence 2: "AI Office" and "Market Surveillance Authority" both show enforcement relationships without clear demarcation.
Risk: Parallel proceedings and conflicting enforcement decisions.
Proposed Regulatory Amendment:
Article 64(1a): The AI Office's exclusive competence over general-purpose AI models extends to all obligations under Chapter V. National authorities shall immediately transfer any proceedings concerning such models to the AI Office and may not initiate enforcement actions without prior AI Office coordination.
2. REGULATORY GAPS
2.1 Orphaned Governance Concepts
Evidence 1: 20 fully isolated entities including "Independence of Notified Bodies," "Scientific panel qualified alert," and "Sandbox objectives" have no regulatory connections.
Risk: Critical governance mechanisms lack operational integration and enforcement pathways.
Proposed Regulatory Amendment:
Article 33a: Notified bodies shall demonstrate independence through: (a) organizational separation from AI system providers; (b) financial independence verified annually; (c) conflict of interest declarations updated quarterly; (d) rotation of assessment personnel every three years for the same provider.
Article 68(4a): Scientific panel qualified alerts shall trigger mandatory AI Office investigation within 15 days, with public response required within 60 days including specific risk mitigation measures or reasoned rejection.
2.2 Synthetic Content Governance Gap
Evidence 1: "Synthetic audio content," "Synthetic image content," "Synthetic video content," and "Synthetic text content" are isolated entities with no regulatory connections.
Risk: Deepfakes and synthetic media lack comprehensive regulatory oversight beyond basic transparency.
Proposed Regulatory Amendment:
Article 50a: Providers of AI systems generating synthetic content shall:
(a) implement technical watermarking standards adopted by the Commission;
(b) maintain logs of all synthetic content generation for 12 months;
(c) provide detection tools to competent authorities upon request;
(d) establish content authenticity verification mechanisms for high-risk applications.
3. VAGUE LANGUAGE
3.1 "Systemic Risk" Definition Inadequacy
Evidence 1: Article 3 defines systemic risk through computational thresholds (10²⁵ FLOPs) but lacks operational criteria for "high-impact capabilities."
Evidence 2: "Systemic risks of general-purpose AI models" has 7 outgoing connections but no precise definitional relationships.
Risk: Arbitrary and inconsistent classification of foundation models.
Proposed Regulatory Amendment:
Article 3(65a): High-impact capabilities include: (a) autonomous code generation exceeding 80% accuracy on industry benchmarks; (b) multimodal reasoning capabilities across text, image, and audio; (c) demonstrated ability to perform complex multi-step planning tasks; (d) capability to generate content indistinguishable from human-created content in standardized tests; (e) performance exceeding human-level benchmarks in professional domains.
3.2 "Narrow Procedural Tasks" Exception Ambiguity
Evidence 1: Article 6(3) allows exceptions for AI systems performing "narrow procedural tasks" without defining scope or boundaries.
Risk: Broad interpretation could exempt systems that should be high-risk.
Proposed Regulatory Amendment:
Article 6(3a): Narrow procedural tasks are limited to: (a) data formatting, sorting, or routing without decision-making; (b) scheduling or calendar management; (c) document template completion; (d) routine calculations following predetermined formulas; (e) administrative notifications without content generation. Tasks involving any form of assessment, evaluation, or judgment of persons are excluded.
4. STRUCTURAL WEAKNESSES
4.1 Under-Governed High-Risk Areas
Evidence 1: "Education and vocational training high-risk area" and "Employment, workers management" lack oversight connections.
Risk: Critical high-risk domains operate without adequate supervisory mechanisms.
Proposed Regulatory Amendment:
Article 70a: Member States shall designate specialized competent authorities for education and employment AI systems, with expertise in labor law, educational standards, and algorithmic bias detection. These authorities shall coordinate with general market surveillance authorities and report quarterly to the European AI Board.
4.2 Missing Cross-Border Enforcement Relationships
Evidence 1: Cross-border enforcement concepts lack strong relationship mappings despite multiple references to "joint investigations."
Risk: Fragmented enforcement for AI systems operating across Member States.
Proposed Regulatory Amendment:
Article 74a: Cross-border AI enforcement shall follow standardized procedures: (a) lead authority designation within 10 days; (b) mandatory information sharing protocols; (c) joint investigation teams with shared legal powers; (d) binding dispute resolution through the European AI Board within 90 days.
5. IMPLEMENTATION CHALLENGES
5.1 Complex Conformity Assessment Dependency Chains
Evidence 1: High-risk AI systems require multiple overlapping assessments (conformity assessment, fundamental rights impact assessment, post-market monitoring).
Evidence 2: Complex dependency chains exist between "EU declaration of conformity," "Notified bodies," and various assessment procedures.
Risk: Compliance bottlenecks and procedural confusion.
Proposed Regulatory Amendment:
Article 43a: Providers may conduct parallel conformity procedures where: (a) the same technical documentation serves multiple assessments; (b) a single notified body coordinates all required assessments; (c) consolidated timelines not exceeding 90 days total; (d) integrated compliance documentation reducing duplication by at least 50%.
5.2 SME Compliance Burden
Evidence 1: SME-specific provisions are scattered across multiple articles without an integrated support framework.
Risk: Disproportionate compliance costs preventing SME innovation.
Proposed Regulatory Amendment:
Article 55a: SMEs with fewer than 250 employees and annual turnover below €50 million shall benefit from: (a) 50% reduction in conformity assessment fees; (b) simplified technical documentation templates; (c) 12-month phase-in periods for new obligations; (d) dedicated SME support desks in each Member State; (e) group conformity assessment options for similar AI systems.
6. DEFINITIONAL INCONSISTENCY
6.1 "Deployer" vs. "User" Terminology Confusion
Evidence 1: Article 3 defines "deployer" but uses "user" inconsistently throughout the regulation.
Evidence 2: "deployer" shows definitional relationships while "user" appears in various contexts without consistent definition.
Risk: Legal uncertainty about obligations and rights.
Proposed Regulatory Amendment:
Article 3(4a): References to 'user' throughout this Regulation shall be interpreted as 'deployer' as defined in point (4), except where explicitly referring to natural persons interacting with AI systems as end-users.
7. ACCOUNTABILITY AMBIGUITY
7.1 Fundamental Rights Impact Assessment Responsibility Gap
Evidence 1: Article 27 requires a FRIA for "deployers" but lacks clarity on responsibility when multiple entities deploy the same system.
Evidence 2: FRIA concepts lack clear responsibility relationship mappings.
Risk: Accountability gaps in multi-party AI deployments.
Proposed Regulatory Amendment:
Article 27(1a): Where multiple entities deploy the same high-risk AI system: (a) the entity with primary control over system parameters bears FRIA responsibility; (b) joint deployment requires joint FRIA with clearly allocated responsibilities; (c) subsequent deployers may rely on existing FRIA if use conditions are substantially similar; (d) material changes to deployment require updated FRIA within 30 days.
7.2 AI Office Accountability for Enforcement Decisions
Evidence 1: "AI Office" shows enforcement relationships but lacks accountability or review mechanisms.
Risk: Unchecked regulatory power without adequate oversight.
Proposed Regulatory Amendment:
Article 64(8a): AI Office enforcement decisions shall be subject to: (a) mandatory consultation with affected Member States; (b) reasoned decision publication within 30 days; (c) appeal rights to the General Court; (d) annual review by the European AI Board; (e) parliamentary oversight through annual reporting to the European Parliament.
8. ENFORCEMENT AND REMEDY WEAKNESS
8.1 Individual Remedy Mechanisms Inadequacy
Evidence 1: Article 85 provides complaint rights but lacks specific remedies for AI-caused harm.
Evidence 2: Rights nodes are poorly connected to remedy and compensation mechanisms.
Risk: Affected individuals lack effective redress for AI-related violations.
Proposed Regulatory Amendment:
Article 85a: Individuals harmed by non-compliant AI systems shall have rights to: (a) immediate system suspension pending investigation; (b) compensation for material and non-material damages; (c) algorithmic explanation of decisions affecting them; (d) data deletion and correction; (e) collective redress through qualified entities; (f) legal aid for AI-related proceedings.
8.2 Whistleblower Protection Implementation Gap
Evidence 1: "Whistleblower protection" is mentioned but lacks operational connection to AI-specific procedures.
Risk: Inadequate protection for AI safety reporting.
Proposed Regulatory Amendment:
Article 87a: AI-specific whistleblower protection shall include: (a) anonymous reporting channels in each Member State; (b) protection against retaliation for reporting AI safety concerns; (c) financial incentives for significant safety disclosures; (d) specialized legal support; (e) confidentiality guarantees; (f) expedited investigation procedures for AI safety reports.
9. TEMPORAL AND TRANSITIONAL ISSUES
9.1 Staggered Implementation Timeline Confusion
Evidence 1: Multiple deadline nodes show inconsistent temporal relationships.
Risk: Compliance uncertainty and enforcement gaps during transition periods.
Proposed Regulatory Amendment:
Article 113a: Implementation phases shall follow clear precedence: (a) prohibited practices effective immediately upon entry into force; (b) general-purpose AI obligations effective 12 months after entry; (c) high-risk system requirements effective 36 months after entry; (d) grandfathering provisions for systems placed on market before respective deadlines; (e) mandatory compliance roadmaps for existing systems.
10. SCOPE AND JURISDICTIONAL AMBIGUITY
10.1 Third-Country Provider Obligations
Evidence 1: Jurisdictional scope concepts are poorly connected to enforcement mechanisms for non-EU providers.
Risk: Enforcement gaps for AI systems from third countries.
Proposed Regulatory Amendment:
Article 2(1a): Third-country providers placing AI systems on the EU market shall: (a) designate an authorized representative in the EU; (b) maintain technical documentation within EU territory; (c) submit to EU jurisdiction for enforcement proceedings; (d) provide financial guarantees for potential penalties; (e) comply with data localization requirements for high-risk systems.
11. EXCEPTION AND DEROGATION RISK
11.1 Law Enforcement Exception Breadth
Evidence 1: The regulation provides broad exceptions for law enforcement, migration, and border control systems.
Evidence 2: "Annex III Point 6 - Law Enforcement" and "Annex III Point 7 - Migration" are isolated with unclear safeguard connections.
Risk: Fundamental rights erosion through overly broad security exceptions.
Proposed Regulatory Amendment:
Article 5(1a): Law enforcement exceptions to prohibited practices require: (a) specific legal authorization for each use case; (b) judicial oversight or independent authorization; (c) temporal limitations not exceeding 12 months; (d) regular necessity and proportionality review; (e) public transparency reporting on usage statistics; (f) fundamental rights impact assessment for each deployment.
12. RIGHTS–OBLIGATIONS IMBALANCE
12.1 Right to Explanation Implementation Gap
Evidence 1: Article 86 provides a right to explanation but lacks procedural details.
Evidence 2: Rights nodes are disconnected from procedural implementation mechanisms.
Risk: Illusory rights without effective implementation.
Proposed Regulatory Amendment:
Article 86a: The right to explanation shall be implemented through: (a) plain language explanations within 30 days of request; (b) technical details available to qualified experts; (c) information about decision logic, significance, and consequences; (d) contact points for follow-up questions; (e) free provision of explanations; (f) appeals process for inadequate explanations.
13. EVIDENTIARY AND DOCUMENTATION WEAKNESS
13.1 Technical Documentation Retention Requirements (OI-1)
Evidence 1: Documentation obligations lack clear retention period and audit trail relationships.
Risk: Evidence destruction preventing effective enforcement.
Proposed Regulatory Amendment:
Article 11(1a): Technical documentation shall be retained for: (a) 10 years after AI system withdrawal from market; (b) throughout any ongoing enforcement proceedings; (c) with immutable audit trails for all modifications; (d) in formats accessible to competent authorities; (e) with backup systems ensuring availability; (f) including version control and change logs.
14. RISK CLASSIFICATION AND THRESHOLD AMBIGUITY
14.1 Profiling Classification Absoluteness
Evidence 1: Any AI system performing profiling of natural persons is always considered high-risk under the current text.
Evidence 2: "Profiling always triggers high-risk classification" lacks nuanced risk assessment.
Risk: Over-regulation of low-risk profiling applications.
Proposed Regulatory Amendment:
Article 6(3b): Profiling classification as high-risk may be excepted where: (a) processing is limited to publicly available data; (b) no significant effects on individuals result; (c) transparent opt-out mechanisms exist; (d) processing serves legitimate interests without discrimination; (e) appropriate safeguards prevent adverse impacts. Such exceptions require prior notification to competent authorities.
15. DEPENDENCY AND SEQUENCING FAILURE
15.1 Codes of Practice Development Sequencing
Evidence 1: Codes of practice development lacks clear sequencing relationships with enforcement readiness.
Risk: Enforcement beginning before compliance guidance availability.
Proposed Regulatory Amendment:
Article 56(8a): Codes of practice development shall follow mandatory sequencing: (a) stakeholder consultation completed within 6 months; (b) draft codes published 9 months before enforcement; (c) final codes adopted 3 months before enforcement; (d) implementation guidance published simultaneously; (e) enforcement suspended if codes unavailable by deadline.
16. INTEROPERABILITY AND CROSS-FRAMEWORK CONFLICT
16.1 GDPR Coordination Mechanisms
Evidence 1: Explicit relationship types between AI Act obligations and GDPR compliance are missing.
Risk: Conflicting data protection requirements and duplicative assessments.
Proposed Regulatory Amendment:
Article 4a: AI Act compliance shall coordinate with GDPR through: (a) integrated data protection and AI impact assessments; (b) joint competent authority procedures; (c) harmonized consent and lawful basis requirements; (d) unified individual rights procedures; (e) consistent penalty frameworks; (f) shared technical standards for privacy-preserving AI.
17. MONITORING, REVIEW, AND ADAPTABILITY GAP
17.1 Technology Evolution Response Mechanisms
Evidence 1: Technology evolution concepts are disconnected from regulatory update mechanisms.
Risk: Regulatory obsolescence as AI technology advances.
Proposed Regulatory Amendment:
Article 112a: Regulatory adaptation shall include: (a) annual technology assessment reports; (b) fast-track procedures for emerging AI risks; (c) regulatory sandboxes for testing new approaches; (d) stakeholder early warning systems; (e) Commission power to adopt emergency measures for novel risks; (f) mandatory 3-year comprehensive review with legislative proposals.
18. PROPORTIONALITY AND BURDEN IMBALANCE
18.1 Startup Regulatory Burden
Evidence 1: Identical obligation clusters apply across different actor types without proportionality differentiation.
Risk: Innovation stifling through disproportionate compliance costs.
Proposed Regulatory Amendment:
Article 55b: Startups with fewer than 50 employees and less than 3 years operation shall benefit from: (a) 24-month compliance grace periods; (b) simplified conformity assessment procedures; (c) regulatory sandbox priority access; (d) mentorship programs with established providers; (e) collective compliance schemes; (f) reduced penalty caps of €100,000 maximum.
19. AUDITABILITY AND MACHINE-READABILITY GAP
19.1 Compliance Verification Automation
Evidence 1: Obligations lack control, metric, and automated verification relationships.
Risk: Inefficient manual compliance checking and inconsistent enforcement.
Proposed Regulatory Amendment:
Article 43b: Compliance verification shall support automation through: (a) machine-readable compliance declarations; (b) standardized API interfaces for regulatory reporting; (c) automated testing protocols for technical requirements; (d) digital certificates with cryptographic verification; (e) real-time compliance monitoring dashboards; (f) AI-assisted regulatory analysis tools for authorities.
Appendix: Schedule of Open Issues
| OI Ref |
Section |
Issue Description |
Severity |
Action Required |
| OI-1 | 13.1 Technical Documentation Retention Requirements | The proposed 10-year retention period lacks justification and may conflict with data protection requirements for personal data contained in technical documentation | Substantive | Confirm appropriate retention period considering GDPR Article 5(1)(e) storage limitation principle and provide legal basis for extended retention of personal data in technical documentation |