EU AI Act Human Oversight Protocol Template (Article 14)

High-risk AI systems under the EU AI Act, Regulation (EU) 2024/1689, must be designed so that a person can meaningfully oversee them. Article 14 places the design duty on the provider; Article 26 requires the deployer to assign competent people to exercise that oversight in practice. This page is the fillable protocol that records how — the companion to the human-oversight concept guide.

A protocol is not paperwork for its own sake: it is the evidence that oversight is real and not a rubber stamp, which is exactly what a market-surveillance authority will probe.

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What Article 14 requires oversight to achieve

Article 14 requires that oversight measures enable the people in charge to:

• understand the system's capacities and limitations and monitor its operation, including watching for signs of anomalies and dysfunction;
• stay aware of automation bias — the tendency to over-rely on the system's output, especially where it informs a decision about a person;
• correctly interpret the output, taking account of the tools and methods available;
• decide not to use the system, or to disregard, override or reverse its output in any particular case; and
• intervene in or stop the system through a "stop" mechanism or equivalent.

The protocol below turns those requirements into recorded fields.

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The template — fields to capture

1. System and scope

• System name and version; intended purpose; Annex III category; provider; deployer; date of protocol; review cadence.

2. Oversight roles

• Named oversight person(s) by role (not "the team"); competence and training held (link to Article 4 literacy); authority to override and to stop; backup/cover arrangements.

3. Decision point and human control

• Where in the workflow a human reviews output before it takes effect; what the reviewer sees; whether the decision is human-in-the-loop (human decides), human-on-the-loop (human monitors), or human-in-command; the rule that no output with legal or similarly significant effect on a person takes effect without human review.

4. Interpreting output

• What information, confidence indicators and explanations the reviewer receives; known limitations and failure modes to watch; automation-bias safeguards (e.g. mandatory reasons to accept, periodic blind checks).

5. Override and stop

• The mechanism and steps to disregard, override or reverse an output; the "stop" control and who may trigger it; what happens to in-flight cases when the system is stopped.

6. Monitoring and escalation

• Anomaly indicators monitored; thresholds that trigger escalation; link to Article 12 logs; route to the Article 73 serious-incident process where harm occurs.

7. Records

• Where oversight actions and overrides are logged; retention (deployer logs at least six months under Article 26); link to the Article 9 risk-management record.

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Worked example: a high-risk recruitment deployer

Brückner Personal GmbH deploys a high-risk CV-screening system (Annex III point 4). Its protocol names two recruiters as oversight persons with authority to override the system's shortlist, records that no candidate is rejected on the system's output alone (a recruiter reviews and can reverse every exclusion), lists the system's known weakness with non-standard CVs as a watch-item, and sets a rule that unexplained score swings escalate to the Head of People Ops. Overrides are logged and retained for at least six months. The protocol is the document Brückner hands an auditor to show Article 14 oversight is operational, not nominal.

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How Confir helps

Confir ties the human-oversight protocol to the specific high-risk system in your register — its Annex III category, its Article 12 logging, its Article 9 risk record — so the protocol is consistent with the rest of the technical file rather than a standalone document. It distinguishes the provider's Article 14 design duty from the deployer's Article 26 duty to assign competent oversight. The engine is deterministic and rule-based.

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Frequently asked questions

What is a human oversight protocol under the EU AI Act?

It is the documented arrangement showing how a person oversees a high-risk AI system as required by Article 14: who oversees it, how they interpret its output, how they override or stop it, and how oversight actions are recorded. The provider designs the oversight measures into the system; the deployer assigns competent people to use them under Article 26.

What must human oversight actually enable?

Under Article 14, oversight must let the responsible person understand the system's capacities and limitations, stay aware of automation bias, correctly interpret the output, decide not to use or to override the output in a given case, and intervene or stop the system. The protocol records each of these.

Who is responsible for human oversight — the provider or the deployer?

Both, in different roles. The provider must design the system so oversight is possible (Article 14). The deployer must assign competent, trained people with the authority to exercise it in practice and follow the provider's instructions (Article 26).

Does every AI system need a human oversight protocol?

No. The Article 14 oversight duty attaches to high-risk systems. Minimal- and limited-risk systems do not carry it, though human review can still be sensible practice. Classify the system first to know whether the protocol is required.

When does the obligation apply?

Human oversight is part of the high-risk regime. Stand-alone high-risk Annex III obligations originally read 2 August 2026 in the statute, but the Digital Omnibus — adopted by the European Parliament on 16 June 2026 and the Council on 29 June 2026 — defers this to 2 December 2027. It enters into force on Official Journal publication, expected before 2 August 2026, so plan against 2 December 2027.

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Related guides

• Human oversight explained
• Serious incident report template
• Annex III high-risk use cases
• Article 26 deployer obligations
• How AI risk classification works