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Article 14: human oversight

High-risk AI must be designed so that humans can effectively oversee it and intervene.

Article 14 requires high-risk systems to be effectively overseeable by natural persons, with measures enabling them to understand the system, correctly interpret output, remain aware of automation bias, and decide not to use, to disregard or to stop the system.

Praxikon tracks Article 14: human oversight under the EU AI Act, checked against the official source on 8 August 2026, citing the source for every statement.

Status
Upcoming
Application date
2 December 2027
Version
1.0.0
Last reviewed
8 August 2026

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.

From source to evidence

Why this obligation applies, what it asks of you, and what you show for it.

Applies

Upcoming · 2 December 2027

For whom

  • Deployer
  • Provider of an AI system

What you do

Design and assign effective human oversight

What you record

Oversight file per system

Official source

Article 14(1)-(5)

Who this is relevant to

When this applies

  • Deployer

    An organisation using an AI system under its authority, excluding personal non-professional use.

  • Provider of an AI system

    A party that develops or has an AI system developed and places it on the market under its own name.

  1. 1The system is high-risk; the provider builds in oversight measures, the deployer assigns oversight to competent persons.

What the official source establishes

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.

Our interpretation

The official source remains authoritative. This general interpretation is not legal advice.

Oversight on paper is not oversight: the law names automation bias explicitly, so a human who may only click through does not count. Effective oversight requires understanding, time and mandate, which ties directly into the Article 4 literacy measures.

What you can do now

Appoint the overseeing persons per (upcoming) high-risk system now, train them specifically and record their mandate to intervene in writing.

  1. 01

    Design and assign effective human oversight

    Determine oversight measures per system, appoint competent persons and give them the mandate to intervene or stop.

What to retain

Oversight file per system

Record of oversight measures, appointed persons, their training and the moments of intervention.

Control and reassessment

  • Oversight test before go-live

    Before go-live, test that intervening, stopping and disregarding output actually works and is assigned.

Public tools

Conditions and exceptions

  • For remote biometric identification the reinforced requirement of verification by at least two authorised persons applies (Article 14(5)), with the exceptions listed there.

Official sources and locators

  • EU Artificial Intelligence Act 2024/1689

    European Parliament and Council | original-oj-2024-07-12

    Source locator: Article 14(1)-(5)

  • Digital Omnibus on AI 2026/1744

    European Parliament and Council | official-journal-2026-07-24

    Source locator: Amended Article 113 application dates

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 14: human oversight",
praxikon:eu:ai-act:obligation:article-14-human-oversight@1.0.0,
dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.2.0 (schema 1.5.0),
effective_at 2026-07-27T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z,
sha256 02da6ce26c5036d2cdea0842564e14a1227cd8f8e5fe5e67e15b52cd5332f98b,
https://www.praxikon.com/en/verplichtingen/article-14-human-oversight
(https://www.praxikon.com/api/v1/obligations?id=praxikon%3Aeu%3Aai-act%3Aobligation%3Aarticle-14-human-oversight&effective_at=2026-07-27&known_at=2026-08-08&lang=en, accessed 2026-09-07)

Short form

praxikon:eu:ai-act:obligation:article-14-human-oversight@1.0.0 (sha256 02da6ce2)

BibTeX

@misc{praxikon-eu-ai-act-obligation-article-14-human-oversight-1-0-0,
  author       = {{Praxikon}},
  title        = {Article 14: human oversight},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:obligation:article-14-human-oversight},
  howpublished = {AI Act Change \& Evidence Graph, dataset 2.2.0, schema 1.5.0},
  note         = {effective_at 2026-07-27T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 02da6ce26c5036d2cdea0842564e14a1227cd8f8e5fe5e67e15b52cd5332f98b},
  url          = {https://www.praxikon.com/en/verplichtingen/article-14-human-oversight},
  urldate      = {2026-09-07},
  language     = {en}
}

CSL JSON

[
  {
    "id": "praxikon:eu:ai-act:obligation:article-14-human-oversight@1.0.0",
    "type": "dataset",
    "title": "Article 14: human oversight",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:obligation:article-14-human-oversight",
    "URL": "https://www.praxikon.com/en/verplichtingen/article-14-human-oversight",
    "language": "en",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          8
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
          9,
          7
        ]
      ]
    },
    "note": "dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.2.0; schema 1.5.0; effective_at 2026-07-27T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 02da6ce26c5036d2cdea0842564e14a1227cd8f8e5fe5e67e15b52cd5332f98b; retrieved_from https://www.praxikon.com/api/v1/obligations?id=praxikon%3Aeu%3Aai-act%3Aobligation%3Aarticle-14-human-oversight&effective_at=2026-07-27&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

How to verify a reference later is set out in the methodology. Terms

Version history

  1. v1.0.0

    27 July 2026

    Article 14: human oversight

    High-risk AI must be designed so that humans can effectively oversee it and intervene.

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Zahed Ashkara, lawyer and AI governance specialist

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Zahed Ashkara

Lawyer and AI governance specialist

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