Article 10: data and data governance
Quality and governance requirements for training, validation and test data of high-risk AI.
The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map
Address and citation
This object has an address of its own that is never renamed or reused. Store the identifier in your own file, not the title or the link.
- Identifier
praxikon:eu:ai-act:obligation:article-10-data-governance- Payload hash (sha256)
1b6992c5a6d684dd828c8b00a7239e768eee9d4a5cb4fdbc4fbaee3dbf561d91
Citation line
Praxikon, "Article 10: data and data governance", praxikon:eu:ai-act:obligation:article-10-data-governance@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 1b6992c5a6d684dd828c8b00a7239e768eee9d4a5cb4fdbc4fbaee3dbf561d91- Version
- 1.0.0
- Legal time (effective_at)
- 27 July 2026
- Knowledge time (known_at)
- 8 August 2026
- Closed on
- Not closed
- Application date
- 2 December 2027
- Topics
- high-risk-requirements
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.
Who must act and who is affected
On an obligation the addressee is recorded separately from the party that is merely affected. That difference decides who a supervisory authority addresses and who has work to do without the duty resting on them.
Duty holder
- Provider of an AI systempraxikon:eu:ai-act:actor:provider
Affected actor
- Deployerpraxikon:eu:ai-act:actor:deployer
Oversight
Not recorded on this object.
Evidence owner
- Provider of an AI systempraxikon:eu:ai-act:actor:provider
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.
Who carries the duty
1 of 1 shown
The duty rests on this role. A supervisory authority addresses this role when it is not met.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
praxikon:eu:ai-act:actor:provider
Who is affected without being the addressee
1 of 1 shown
This role is practically affected without being the addressee: it receives the information, has to cooperate, or absorbs the consequences in its own process.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
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
Who owns the evidence
1 of 1 shown
This duty holder creates, maintains and can produce the evidence.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
praxikon:eu:ai-act:actor:provider
What has to be done
1 of 1 shown
This is what concretely has to be done under the obligation.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
ActionSet up data governance per dataset
praxikon:eu:ai-act:action:article-10-data-governance-act
What has to be recorded
1 of 1 shown
This is what has to be in the file to show that the action was carried out.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
EvidenceData governance file
praxikon:eu:ai-act:evidence:article-10-data-governance-record
What keeps it in place
1 of 1 shown
This is what keeps compliance in place over time, periodic or event-driven.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
ControlData check before retraining
praxikon:eu:ai-act:control:article-10-data-governance-control
Public tools
1 of 1 shown
This is the public route a reader can actually use.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
- Condition | allThe high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
- ExceptionFor special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
As long as this exception is not ruled out, the outcome stays conditional and you have to establish it yourself.
Consequence
TemplateFull text of Article 10
praxikon:eu:ai-act:template:article-10-data-governance-legal-text
What points at this object
Objects hanging off this obligation
6 of 6 shown
The object belongs to this obligation. The source line it hangs off sits there.
Source
This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
No condition or exception recorded on this object.
Relation recorded on: Set up data governance per dataset
Consequence
ActionSet up data governance per dataset
praxikon:eu:ai-act:action:article-10-data-governance-act
Source
This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Via
No condition or exception recorded on this object.
Relation recorded on: Data check before retraining
Consequence
ControlData check before retraining
praxikon:eu:ai-act:control:article-10-data-governance-control
Source
This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Consequence
EvidenceData governance file
praxikon:eu:ai-act:evidence:article-10-data-governance-record
Source
Official fact on this object, with its locator.
ISO/IEC JTC 1/SC 42: international standards for artificial intelligence
Locator: ISO/IEC 5259 series, ISO/IEC JTC 1/SC 42
praxikon:eu:ai-act:source:iso-iec-jtc1-sc42
Open official sourceEU Artificial Intelligence Act 2024/1689
Locator: Article 10
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official source
Via
No condition or exception recorded on this object.
Relation recorded on: ISO/IEC 5259 series: data quality for analytics and machine learning
Consequence
StandardISO/IEC 5259 series: data quality for analytics and machine learning
praxikon:eu:ai-act:standard:standard-iso-iec-5259-data-quality-machine-learning
Source
Official fact on this object, with its locator.
CEN-CENELEC JTC 21: European standards under standardisation request M/613
Locator: prEN 18284 (draft standard), CEN/CLC/JTC 21 under M/613
praxikon:eu:ai-act:source:cen-cenelec-jtc21
Open official sourceEU Artificial Intelligence Act 2024/1689
Locator: Article 10; Article 40
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official source
Via
- Condition | allApplies to providers of high-risk AI systems that are trained on data.
Relation recorded on: prEN 18284: quality and governance of datasets in AI
Consequence
StandardprEN 18284: quality and governance of datasets in AI
praxikon:eu:ai-act:standard:standard-pren-18284-dataset-quality-governance
Source
This object carries no official fact of its own. The source line below sits on the obligation it hangs off; the link itself is recorded editorially.
EU Artificial Intelligence Act 2024/1689
Locator: Article 10(1)-(6)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official sourceDigital Omnibus on AI 2026/1744
Locator: Amended Article 113 application dates
praxikon:eu:ai-act:source:reg-eu-2026-1744
Open official source
Consequence
TemplateFull text of Article 10
praxikon:eu:ai-act:template:article-10-data-governance-legal-text
What this object states
Official fact
Attributable to a named primary source, with a locator. Where they differ, the official source prevails.
Article 10 requires datasets appropriate to the intended purpose, with governance over origin and composition, attention to representativeness, errors and completeness, and examination of possible bias with appropriate measures.
- Locator: Article 10(1)-(6)praxikon:eu:ai-act:source:reg-eu-2024-1689Open official source
For the Annex III route this requirement applies from 2 December 2027; for high-risk AI in regulated products (Annex I) from 2 August 2028.
- Locator: Amended Article 113 application datespraxikon:eu:ai-act:source:reg-eu-2026-1744Open official source
Our interpretation
Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.
Today’s dataset choices determine whether compliance is feasible later: data bought or collected today without provenance records cannot be repaired in 2027.
- Locator: Article 10(1)-(6)praxikon:eu:ai-act:source:reg-eu-2024-1689Open official source
Recommended step
A practical step we consider appropriate. Not an obligation following from the Regulation.
Record origin and assumptions per dataset and include data quality as a requirement in every AI or data procurement contract.
- Locator: Article 10(1)-(6)praxikon:eu:ai-act:source:reg-eu-2024-1689Open official source
When this applies
- 1The high-risk system is trained with data; the provider composes the datasets, the deployer controls relevant input data.
When this does not apply
- For special categories of personal data the strict exception of Article 10(5) applies (bias detection and correction under conditions).
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, "Article 10: data and data governance", praxikon:eu:ai-act:obligation:article-10-data-governance@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-07-27T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z, sha256 1b6992c5a6d684dd828c8b00a7239e768eee9d4a5cb4fdbc4fbaee3dbf561d91, https://www.praxikon.com/en/verkenner/obligation/article-10-data-governance (https://www.praxikon.com/api/v1/obligations?id=praxikon%3Aeu%3Aai-act%3Aobligation%3Aarticle-10-data-governance&effective_at=2026-07-27&known_at=2026-08-08&lang=en, accessed 2026-08-25)
Short form
praxikon:eu:ai-act:obligation:article-10-data-governance@1.0.0 (sha256 1b6992c5)
BibTeX
@misc{praxikon-eu-ai-act-obligation-article-10-data-governance-1-0-0,
author = {{Praxikon}},
title = {Article 10: data and data governance},
year = {2026},
version = {1.0.0},
number = {praxikon:eu:ai-act:obligation:article-10-data-governance},
howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
note = {effective_at 2026-07-27T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 1b6992c5a6d684dd828c8b00a7239e768eee9d4a5cb4fdbc4fbaee3dbf561d91},
url = {https://www.praxikon.com/en/verkenner/obligation/article-10-data-governance},
urldate = {2026-08-25},
language = {en}
}CSL JSON
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"issued": {
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}
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