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The practical sequence is: check the prohibited practices in Article 5, test the two high-risk routes in Article 6, apply the Article 50 transparency rules where relevant, and then assess any separate GPAI-model obligations. The key dates run from 2024 through 2028, so a deadline should always be checked against the latest European Commission guidance and consolidated legal text.
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What the EU AI Act means by an “AI agent”
The Act’s official FAQ says that AI agents are not a separate category of AI. Instead, the definitions of an “AI system” in Article 3(1) and a “general-purpose AI model” in Article 3(63) are broad enough to cover them. In practical terms, an agent is software that can interpret inputs, reason or generate outputs, and often take actions through tools such as APIs, browsers, databases or enterprise applications.
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Calling a product an agent does not decide its legal status. A customer-service agent that answers routine questions is assessed differently from an agent that ranks job applicants, recommends credit decisions, controls industrial equipment or assists border authorities. Autonomy matters because it affects supervision and safety, but the intended purpose and consequences of the deployment usually matter more than the marketing label.
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The six questions that determine classification
- Is the software an AI system within the Act’s definition?
- What intended purpose has the provider documented?
- Could the use fall under an Article 5 prohibited practice?
- Does the regulated-product route in Annex I apply?
- Does the sensitive-use route in Annex III apply?
- Do transparency, GPAI or transition rules add obligations even if the system is not high-risk?
The provider’s documented intended purpose is the starting point. A deployer cannot reliably reduce obligations simply by describing a system as a “general assistant” while configuring it to make consequential decisions about people.
The four practical risk levels
1. Prohibited or unacceptable risk
Article 5 bans specified practices outright. The prohibition applies to the concrete behavior and purpose, not to the word “agent.” A general-purpose agent is not automatically banned, but a particular deployment can be.
Examples include harmful subliminal or manipulative techniques; exploiting vulnerabilities linked to age, disability or social circumstances; certain social-scoring systems; profiling-only predictions of whether a person will commit a crime; untargeted scraping of facial images to build facial-recognition databases; most emotion-inference uses in workplaces and schools; and restricted real-time remote biometric identification.
Two additional prohibitions concerning specified non-consensual intimate material and child sexual-abuse material apply from 2 December 2026. The exact statutory conditions and exceptions matter, so a provider should assess Article 5 before relying on any argument that a system is merely procedural or preparatory.
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2. High risk
Article 6 creates two main routes to high-risk status:
- Annex I route: the AI system is a safety component of, or is itself, a product covered by Union harmonisation legislation listed in Annex I, and that product must undergo a third-party conformity assessment.
- Annex III route: the system’s intended use is listed in a sensitive area in Annex III.
Annex III areas include employment and worker management, education and vocational training, access to essential private or public services, law enforcement, migration and border control, democratic processes, and safety-critical infrastructure. An agent that materially assists a decision about a natural person in one of these areas deserves a much more cautious assessment than a productivity chatbot.
Article 6 contains filters that can exclude some narrowly procedural, preparatory or supportive systems. The provider must document the assessment. Profiling of natural persons keeps an Annex III system high-risk, even where another filter might otherwise appear relevant.
3. Limited or transparency risk
Some systems are outside the high-risk lists but still have mandatory transparency duties. Article 50 covers specified interactions with people and generated or manipulated content. Depending on the provision, people must be told when they are interacting with AI, and synthetic or manipulated text, audio, image or video must be marked or otherwise disclosed.
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For agents intended to interact with natural persons or generate content, the relevant transparency rules apply from 2 August 2026. Providers of systems placed on the market before that date receive a limited transition for the Article 50(2) marking and detection obligation until 2 December 2026. A system can therefore be non-high-risk yet still require a clear notice, metadata, labeling or another disclosure mechanism.
4. Minimal or no risk
Systems that do not trigger Article 5, Article 6 or the applicable Article 50 provisions generally have no mandatory AI Act controls beyond rules that may arise from other legislation. Spam filters, many entertainment recommendations and low-consequence internal assistants commonly fall here. Voluntary codes of conduct can still be adopted, and ordinary privacy, consumer-protection, employment, safety and cybersecurity laws may apply independently.
How to classify an agent step by step
- Describe the real deployment. Record the users, geography, data sources, tools, degree of autonomy, human approval points and every action the agent can take. Assess the configured system, not just the base model.
- Write the intended purpose precisely. “Helps recruiters” is less useful than “summarises applications for a human recruiter without ranking candidates.” Include whether the system recommends, ranks, predicts, decides or executes.
- Check Article 5 first. Look for manipulation, exploitation, prohibited social scoring, criminal-risk profiling, facial-image scraping, restricted biometric identification and workplace or school emotion inference. If a prohibition applies, a high-risk exception cannot rescue the deployment.
- Test Annex I. Determine whether the agent is a safety component of, or itself a product covered by, the listed Union harmonisation legislation and whether third-party conformity assessment is required.
- Test Annex III. Map the intended use to employment, education, essential services, law enforcement, migration, democratic processes or safety-critical infrastructure. Consider the rights and interests of people affected, not just the department buying the software.
- Apply Article 6 filters carefully. A narrowly procedural or preparatory function may fall outside high-risk treatment, but profiling of natural persons remains high-risk. Keep a written assessment explaining the conclusion.
- Check Article 50 separately. Determine whether the agent interacts with people, produces synthetic content or manipulates existing content. Add notices, labels, detection and disclosure controls where required.
- Assess the model layer. If the agent uses a GPAI model, identify whether the model provider has GPAI obligations, including the additional requirements for models with systemic risk.
- Record dates and roles. Separate provider duties from deployer duties and note the market-placement, put-into-service and transition dates that apply to this system.
What providers must do when an agent is high risk
A provider placing a high-risk agent on the EU market or putting it into service must establish a quality-management system and prepare technical documentation. The system needs appropriate logging, risk-management processes, data-governance controls, accuracy and cybersecurity measures, and instructions that allow lawful use and effective oversight.
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Provider evidence should cover
- Intended purpose, foreseeable misuse and the environments in which the agent may operate.
- Model and tool architecture, data requirements, limitations and performance under relevant conditions.
- Risk controls, human-oversight design, fallback procedures and cybersecurity protections.
- Logging, monitoring, change management and post-market corrective action.
- Instructions for deployers, including warnings about automation bias and situations requiring human review.
What deployers must do
Deployers are the organisations using the high-risk system under their authority. They must follow the provider’s instructions, assign competent human oversight, monitor operation and use input data that is relevant and sufficiently representative for the intended task. They must retain logs under their control for at least six months, unless another legal rule requires a longer period.
Deployers must act on serious risks or incidents and suspend or otherwise control use when the system presents a danger. Where a high-risk system makes or materially assists a decision about a natural person, the person must be informed that the system is being used. Internal procedures should explain how a person can request review, correction or escalation under applicable law; the AI Act notice does not replace rights provided by privacy, employment, equality or sector-specific rules.
Human oversight is an operating function, not a button
An approval checkbox is not meaningful oversight if the reviewer lacks time, information or authority to reject the agent’s recommendation. Effective oversight requires trained people, access to relevant inputs and logs, clear escalation thresholds, and the ability to pause or override actions. More autonomy and broader tool access increase the need for technical guardrails, least-privilege permissions and transaction limits.
The GPAI overlay: model rules and agent rules can coexist
Many agents are built on a GPAI model supplied by another organisation. The model provider’s obligations under the GPAI chapter can apply separately from the downstream agent’s classification. A compliant model does not automatically make every agent built on it compliant, and a high-risk downstream use does not necessarily make the base model itself high-risk.
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For GPAI models with systemic risk, the Commission’s FAQ identifies autonomous capabilities and agentic use as relevant to risk management. Providers should therefore assess the model’s capabilities, evaluations, systemic risks and safeguards, then map those findings to the agent’s tools, data and intended purpose. Contracts should identify who supplies technical documentation, incident information, updates and support for downstream compliance.
EU AI Act timeline for agents
| Date | Milestone | What it means for agents |
|---|---|---|
| 1 August 2024 | Act entered into force | The EU-wide, risk-based framework became law. |
| 2 August 2025 | GPAI and governance obligations began applying | Relevant model providers had to meet the GPAI chapter requirements that took effect on this date. |
| 2 August 2026 | General application milestone and Article 50 enforcement | Applicable transparency duties for agent interactions and generated content begin; some pre-existing systems receive the limited Article 50(2) transition below. |
| 2 December 2026 | Additional Article 5 prohibitions | Specified non-consensual intimate-material and child-sexual-abuse-material prohibitions apply. The limited Article 50(2) transition for qualifying pre-existing systems ends. |
| 2 December 2027 | Standalone Annex III high-risk rules | High-risk obligations for relevant Annex III systems apply under the current implementation schedule. |
| 2 August 2028 | High-risk rules for Annex I products | High-risk requirements apply to AI embedded in regulated Annex I products under the current schedule. |
These dates are implementation milestones reported by the European Commission for the current schedule. Amendments, guidance and national implementation measures can change how a deadline operates in a particular case. Recheck the Commission AI Act Service Desk and the consolidated legal text before relying on a date in a contract, launch plan or compliance statement.
Comparing two AI agents
Compare deployments rather than brand names or model names. A useful review matrix asks:
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| Purpose and affected rights | Does either agent rank, recommend or decide matters involving employment, education, credit, essential services, policing, migration or democratic participation? |
| Autonomy and tools | Can it only draft text, or can it send messages, alter records, approve transactions or control equipment without a person? |
| Annex I or Annex III | Is it part of a regulated product, or is its intended use in a listed sensitive area? |
| Profiling | Does it infer or evaluate characteristics of identifiable people, particularly for decisions about them? |
| Transparency | Does it identify itself as AI and mark or disclose generated and manipulated content where required? |
| Oversight and logs | Are competent reviewers, override controls, monitoring and at least six months of deployer-held logs available? |
| GPAI status | What model obligations apply upstream, and are systemic-risk or agentic capabilities documented? |
| Date and geography | Which version, market-placement date and EU deployment determine the applicable transition? |
Common classification mistakes
- Treating “agent” as a legal tier. The Act classifies the use and system, not the product label.
- Starting with high-risk exceptions. Article 5 prohibitions must be checked first.
- Assuming a human in the loop removes high-risk status. Material assistance in a sensitive use can still qualify, and weak oversight creates additional risk.
- Ignoring profiling. Profiling of natural persons can preserve Annex III high-risk status despite an otherwise procedural function.
- Confusing transparency with low risk. An agent can be non-high-risk and still need interaction notices or content labels.
- Assessing only the base model. Tool permissions, data, prompts, workflows and deployment context can change the downstream classification.
- Using a deadline without its transition condition. Market-placement date, product route and the specific Article 50 provision determine whether a transition applies.
Bottom line for organisations deploying agents
Document the agent’s intended purpose and actual capabilities, test Article 5 before anything else, map Annex I and Annex III routes, preserve evidence for any Article 6 filter, and implement Article 50 transparency controls independently of high-risk status. Treat the GPAI model and the downstream agent as connected but separate compliance layers. Because the calendar extends through 2028 and remains subject to implementation changes, make date verification part of every release and procurement review.
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