regulations eu

EU AI Act High-Risk Classification: How Article 6 Actually Works

The high-risk determination isn't a single test — it's a two-step filter, and most companies only check the step that makes their system look safe.

Compliance and legal professionals reviewing AI system documentation together
Photo: Sherwin Ker via Unsplash
Governome Editorial Team3 min readHow we source and review this content.

Ask five compliance teams whether their system is "high-risk" under the EU AI Act, and at least two will answer based on how the system feels rather than how Article 6 actually tests it. The test is mechanical, not intuitive, and it runs in two independent tracks — and it's worth confirming first that the system clears Article 5's prohibited-practices screen, since no high-risk classification saves a system that falls into one of those eight banned categories.

EU AI Act Article 6 — high-risk classification

Track 1

Safety component of a product already covered by Annex I EU product-safety law (medical devices, machinery, toys, lifts) requiring third-party conformity assessment.

Track 2

Falls into an Annex III use-case category — employment, essential services, biometric identification, education — and materially influences the outcome (the Article 6(3) exemption doesn't apply).

High-risk system

Either track alone is sufficient — Articles 9–15 obligations apply: risk management, data governance, technical documentation, logging, transparency, human oversight, accuracy/robustness/cybersecurity.

Track one: products already covered by EU safety law

If your AI system is a safety component of a product already regulated under the legislation listed in Annex I — medical devices, machinery, toys, lifts, and similar categories with existing EU conformity-assessment regimes — and that product requires third-party conformity assessment, the AI component is high-risk by extension. This track catches AI embedded in physical products more often than software teams expect: a diagnostic algorithm inside a Class IIa medical device inherits high-risk status through the device's own regulatory pathway, not through a separate AI-specific test.

Track two: the Annex III use-case list

This is the track that catches most standalone software. Annex III lists specific use-case categories, and if your system falls into one of them, it's presumptively high-risk. The categories that generate the most classification questions:

  • Employment — systems used for recruitment, candidate screening, or decisions on promotion and termination
  • Access to essential services — creditworthiness evaluation, eligibility for public benefits, risk assessment for life and health insurance pricing
  • Biometric identification and categorization — remote biometric identification is treated separately and more strictly; categorization by sensitive attributes is its own listed category
  • Education — systems that determine access to educational institutions or evaluate learning outcomes in ways that affect a student's course

The exemption teams get wrong

Article 6(3) carves out an exemption: a system that falls into an Annex III category is not high-risk if it doesn't materially influence the outcome of the decision — for example, a system that performs a narrow procedural task, improves the result of a previously completed human activity, or detects patterns without replacing human assessment.

Teams reach for this exemption too quickly. It does not cover "a human technically clicks approve." The exemption is about the system's actual influence on the outcome, and the Act places the burden on the provider to document why the exemption applies — including, specifically, a requirement to register the exemption assessment before placing the system on the market. If your documentation folder doesn't contain that assessment, you don't have a defensible exemption; you have an assumption.

What high-risk status actually requires

Classification isn't the end of the analysis — it's the trigger for a specific set of obligations under Articles 9 through 15: a risk management system maintained across the system's lifecycle, data governance requirements for training data, technical documentation, automatic logging capability, transparency obligations toward deployers, human oversight measures, and defined levels of accuracy, robustness, and cybersecurity. Each of those is a separate, auditable requirement, not a single checkbox.

How this connects to your broader governance program

Article 6 classification should plug directly into the risk-tiering step of your governance framework, not run as a separate parallel process — a system that classifies as high-risk under Annex III should land in your "consequential" tier automatically. See our governance framework checklist for how that tiering is meant to work end to end.

Sources & references

  1. Regulation (EU) 2024/1689, Article 6
European Union policy officials in discussion at a government building
Photo: Karson via Unsplash

regulations eu

The EU AI Act

The EU AI Act classifies AI systems into risk tiers and phases its obligations in on a multi-year schedule. Here's what's actually in force today, what's still phasing in, and how the risk tiers work.
Governome Editorial Team · 4 min read
Legal and compliance professionals reviewing which AI practices are prohibited under the EU AI Act
Photo: Leon Seibert via Unsplash
Article 5 of the EU AI Act prohibits eight specific AI practices — social scoring, manipulative and exploitative AI, untargeted facial-recognition scraping, workplace emotion inference, and more — with no compliance path around them. It's also been in force since February 2025, earlier than almost everything else in the Act.
Governome Editorial Team · 8 min read
Compliance team running a risk management review meeting around a whiteboard
Photo: Fiqih Alfarish via Unsplash
Article 9 requires high-risk AI providers to run a continuous risk management process across the system's entire lifecycle, not produce a one-time document. Here's what the process actually has to include, and the gap auditors flag most.
Governome Editorial Team · 7 min read
Data science team reviewing training data governance documentation
Photo: Jakub Żerdzicki via Unsplash
Article 10 requires documented data governance practices for training, validation, and testing data — provenance, bias examination, gap identification, and relevance to intended purpose — a materially different and broader standard than generic data cleaning. Here's what it actually covers.
Governome Editorial Team · 4 min read
Compliance team assembling technical documentation for a high-risk AI system
Photo: Vitaly Gariev via Unsplash
Article 11 requires a technical documentation file, built before market placement and kept current, that lets regulators verify a high-risk system's compliance. Annex IV's scope is real, but the more expensive mistake is assembling it retroactively instead of incrementally — here's what's actually required.
Governome Editorial Team · 5 min read
Engineers reviewing automated system logs on server monitoring screens
Photo: Tyler via Unsplash
Article 12 requires high-risk AI systems to automatically log events built for three specific purposes — risk identification, post-market monitoring, and deployer oversight — plus an extra minimum spec for remote biometric identification systems. Generic application logs rarely satisfy all three by accident.
Governome Editorial Team · 5 min read
Compliance reviewer checking a technical documentation package against requirements
Photo: Vitaly Gariev via Unsplash
Article 13 requires high-risk AI providers to produce instructions for use that let deployers interpret and correctly apply the system's output. It's routinely confused with end-user AI disclosure rules elsewhere in the Act — here's what it actually requires and why the distinction matters.
Governome Editorial Team · 6 min read
Compliance team reviewing human oversight design for a high-risk AI system
Photo: Benjamin Child via Unsplash
Article 14 requires human oversight measures that give a person real capability to understand, monitor, interpret, and override a high-risk AI system — not a procedural approval step. Here's the five specific capabilities the Act requires, including the automation-bias problem most teams never design for.
Governome Editorial Team · 5 min read
Security analysts reviewing AI-specific threat monitoring for a high-risk system
Photo: Rob Simmons via Unsplash
Article 15 requires high-risk AI systems to meet defined, maintained levels of accuracy, robustness, and cybersecurity — including AI-specific threats like data and model poisoning that a standard application security review typically doesn't test for. Here's what's actually required, and who tends to miss it.
Governome Editorial Team · 5 min read
Compliance reviewer working through a classification checklist at a desk
Photo: Zulfugar Karimov via Unsplash
Step through this checklist before concluding an AI system falls outside the EU AI Act's high-risk category. It mirrors the actual two-track Article 6 test, not a simplified summary of it.
Governome Editorial Team · 2 min read
An AI system subject to heightened legal obligations because of what it's used for — not because of the underlying technology — typically because it materially affects access to employment, credit, healthcare, housing, or legal standing.
Governome Editorial Team · 2 min read