GuidanceGuidancev1.0.0

No mandatory course format, no certificate, no exam and no AI officer

Article 4 prescribes no form. The Commission confirms that no certificate is required, no obligation to measure knowledge exists, no training is mandatory and no governance structure is prescribed.

The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map

Address and citation

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Identifier: praxikon:eu:ai-act:guidance:guidance-article-4-no-mandatory-course-or-certificate
Payload hash (sha256): 8e07dd9efd3545029344dab517fe03c043b41d3bb1e72327c553bd9f48dc126b

Citation line

Praxikon, "No mandatory course format, no certificate, no exam and no AI officer", praxikon:eu:ai-act:guidance:guidance-article-4-no-mandatory-course-or-certificate@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-14T00:00:00.000Z, sha256 8e07dd9efd3545029344dab517fe03c043b41d3bb1e72327c553bd9f48dc126b

Version: 1.0.0
Legal time (effective_at): 8 August 2026
Knowledge time (known_at): 8 August 2026
Closed on: Not closed
Topics: guidance

Review status: Placed against the official source (8 August 2026). Next check due by 4 February 2027. The check date is the knowledge date of this version; no later recheck has been recorded.

What this object links to

Every relation appears below as a path: from the source with its locator, through the conditions and exceptions of the object carrying the relation, to the consequence. A locator belongs to a statement in the data and not to a relation, so the source is the source anchor of the carrying object.

The obligation this hangs off

1 of 1 shown

The object belongs to this obligation. The source line it hangs off sits there.

Source
Official fact on this object, with its locator.
- AI literacy questions and answers
  Locator: Commission Q&A on AI literacy, sections on required level, training formats, certificates, assessment of knowledge and governance structures (consulted 9 August 2026)
  praxikon:eu:ai-act:source:commission-ai-literacy-qa
  Open official source
Via
- Condition | allApplies to providers and deployers of AI systems, who take measures to support AI literacy among their staff and other persons dealing with the operation and use of AI systems on their behalf.
- ExceptionFor deployers of high-risk AI systems, a separate obligation under Article 26 will apply in addition, requiring them to ensure that staff working with the system are sufficiently trained to handle it and ensure human oversight. That duty goes beyond Article 4, but it does not apply yet: it becomes applicable on 2 December 2027 for standalone high-risk systems under Annex III and on 2 August 2028 for high-risk systems embedded in products under Annex I.
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
- ObligationArticle 4: AI literacy
  praxikon:eu:ai-act:obligation:article-4-ai-literacy

What this object is about

2 of 2 shown

The object is about this role. Undifferentiated: it does not follow that the duty rests on this role.

Source
Official fact on this object, with its locator.
- AI literacy questions and answers
  Locator: Commission Q&A on AI literacy, sections on required level, training formats, certificates, assessment of knowledge and governance structures (consulted 9 August 2026)
  praxikon:eu:ai-act:source:commission-ai-literacy-qa
  Open official source
Via
- Condition | allApplies to providers and deployers of AI systems, who take measures to support AI literacy among their staff and other persons dealing with the operation and use of AI systems on their behalf.
- ExceptionFor deployers of high-risk AI systems, a separate obligation under Article 26 will apply in addition, requiring them to ensure that staff working with the system are sufficiently trained to handle it and ensure human oversight. That duty goes beyond Article 4, but it does not apply yet: it becomes applicable on 2 December 2027 for standalone high-risk systems under Annex III and on 2 August 2028 for high-risk systems embedded in products under Annex I.
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
- ActorDeployer
  praxikon:eu:ai-act:actor:deployer
- ActorProvider of an AI system
  praxikon:eu:ai-act:actor:provider

What this object states

Official fact

Attributable to a named primary source, with a locator. Where they differ, the official source prevails.

The Commission Q&A on AI literacy states that there is no one size fits all when it comes to AI literacy and that no strict requirements or mandatory trainings are imposed. On certification, the Q&A states literally that there is no need for a certificate and that organisations can keep an internal record of trainings or other guiding initiatives. On assessment, it states that Article 4 of the AI Act does not entail an obligation to measure the AI knowledge of employees. On governance, it states that no specific governance structure is mandated to comply with Article 4, so that unlike the data protection officer under the GDPR, no AI officer needs to be appointed. On the level, the Q&A states that following the Digital Omnibus amendment AI literacy remains an obligation for providers and deployers of AI systems, but that no specific or sufficient level is mandated and that the Regulation does not require guaranteeing any specific level of AI literacy of any individual. Against that, the Q&A states that simply relying on the AI systems' instructions for use or asking staff to read them might be ineffective, and that organisations should take into account general AI understanding within the organisation, whether they are a provider or a deployer, the risks associated with the systems deployed, staff knowledge gaps considering technical knowledge, experience, education and training, and contextual factors such as sector, purpose and affected populations. The Q&A further states that organisations may implement different levels of training or learning approaches depending on knowledge, experience, education and role, and that staff with a degree or experience in AI development are normally considered AI literate, while the organisation must still verify that those persons understand the specific AI systems of the organisation, know how to deal with them and are aware of all risks.
- Locator: Commission Q&A on AI literacy, sections on required level, training formats, certificates, assessment of knowledge and governance structures (consulted 9 August 2026)praxikon:eu:ai-act:source:commission-ai-literacy-qaOpen official source

Our interpretation

Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.

This guidance cuts both ways and both are abused. The supply side of the market sells certificates and exams as a legal requirement: that is demonstrably wrong, because the Commission states literally that no certificate is needed and that there is no obligation to measure knowledge. The other side is the organisation that concludes from the same answer that nothing is required. That is equally wrong. In the same Q&A the Commission says that merely forwarding the instructions for use might be ineffective, and it expects a reasoned choice based on your role, your risks and your people's knowledge gaps. The correct reading is therefore: no prescribed format, but a demonstrable measure. That makes the internal record named in the Q&A the practical heart of your file. And note the nuance about technical staff: a data scientist is not automatically done, because the organisation must still verify that this person knows its own systems and the associated risks.
- Locator: Commission Q&A on AI literacy, sections on required level, training formats, certificates, assessment of knowledge and governance structures (consulted 9 August 2026)praxikon:eu:ai-act:source:commission-ai-literacy-qaOpen official source

Recommended step

A practical step we consider appropriate. Not an obligation following from the Regulation.

Stop steering on certificates and steer on a demonstrable, reasoned measure. Record what you did, for which groups, why that format fits their role and the risks of the systems they use, and keep a simple internal record as the Q&A suggests. Differentiate by role rather than giving everyone the same module, and include your technical staff with a specific component on your own systems and risks. Replace the mere forwarding of instructions for use with something that is demonstrably read and understood.
- Locator: Commission Q&A on AI literacy, sections on required level, training formats, certificates, assessment of knowledge and governance structures (consulted 9 August 2026)praxikon:eu:ai-act:source:commission-ai-literacy-qaOpen official source

When this applies

1Applies to providers and deployers of AI systems, who take measures to support AI literacy among their staff and other persons dealing with the operation and use of AI systems on their behalf.

When this does not apply

For deployers of high-risk AI systems, a separate obligation under Article 26 will apply in addition, requiring them to ensure that staff working with the system are sufficiently trained to handle it and ensure human oversight. That duty goes beyond Article 4, but it does not apply yet: it becomes applicable on 2 December 2027 for standalone high-risk systems under Annex III and on 2 August 2028 for high-risk systems embedded in products under Annex I.

Referring to this object

Citation block

Copy this reference into your advice, article or file. The identifier, the version and the hash keep the statement findable later, even once the dataset has moved on.

Reference

Praxikon, "No mandatory course format, no certificate, no exam and no AI officer",
praxikon:eu:ai-act:guidance:guidance-article-4-no-mandatory-course-or-certificate@1.0.0,
dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0),
effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z,
sha256 8e07dd9efd3545029344dab517fe03c043b41d3bb1e72327c553bd9f48dc126b,
https://www.praxikon.com/en/verkenner/guidance/guidance-article-4-no-mandatory-course-or-certificate
(https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aguidance%3Aguidance-article-4-no-mandatory-course-or-certificate&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:guidance:guidance-article-4-no-mandatory-course-or-certificate@1.0.0 (sha256 8e07dd9e)

BibTeX

@misc{praxikon-eu-ai-act-guidance-guidance-article-4-no-mandatory-course-or-certificate-1-0-0,
  author       = {{Praxikon}},
  title        = {No mandatory course format, no certificate, no exam and no AI officer},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:guidance:guidance-article-4-no-mandatory-course-or-certificate},
  howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
  note         = {effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 8e07dd9efd3545029344dab517fe03c043b41d3bb1e72327c553bd9f48dc126b},
  url          = {https://www.praxikon.com/en/verkenner/guidance/guidance-article-4-no-mandatory-course-or-certificate},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

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  }
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