Control over AI
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Compliance and AI 5 min read

Who is responsible for AI literacy: HR, IT or the DPO?

Article 4 of the AI Act places the duty on the organisation, not on a department. In practice HR carries the explanation, IT the register and the moment of work, and the DPO the advice. Who does what, who keeps the evidence, and why "the DPO will handle it" does not work.

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Quick answer

The organisation. Article 4 of the AI Act is addressed to providers and deployers, and that is the employer as a whole, with the board ultimately responsible. The law names no department. In practice you divide the work: HR carries the explanation per role and the record of it, IT carries the register of tools and the way the decision per tool reaches the employee, and the data protection officer advises and checks but does not own it. The business remains responsible for the use in its own work. Put everything with one person and you get a folder of attendance lists and no answer to the question of whether it works.

01

The duty in Article 4 sits with the organisation; the board is ultimately responsible

02

HR carries the explanation per role and keeps the record of who received what

03

IT carries the register and makes sure the decision per tool is visible at the moment of work

04

The DPO advises and checks, and is therefore not the owner of the measure

05

The evidence comes in three parts held by three departments, and someone has to put them together

At a municipality the executive board asks who is responsible for AI literacy. HR points to the training plan, which contains an AI module. IT points to the register of tools it has just set up. The data protection officer says she advises on it, but cannot lead it. Three answers, all three correct, and none of them answers the question.

The answer is: the organisation, with the board ultimately responsible. Article 4 of the AI Act is addressed to providers and deployers, and that is the employer as a whole. The law names no department and prescribes no job title. What Article 4 does ask is set out in AI literacy in 2026. This piece is about the division beneath it: who carries what, and who keeps the evidence.

Why does the law not name a department?

Because the measure is about three things at once, and those three sit with different people. Article 4 asks for measures matched to people's knowledge and experience, to the context in which they use AI, and to the persons on whom the systems are used. The first is an HR question, the second a question for IT and the business, the third a privacy question.

The AI Act divides responsibility along roles, not departments: provider or deployer. The deployer is the organisation that uses a system under its own authority. Everything that comes with that role is in the EU AI Act for employers. Internally you have to divide it yourself, and that is exactly what has not yet happened at the municipality in the opening.

Who carries what?

RoleCarriesKeeps as evidence
Board or managementThe decision on who carries what, the AI policy, and its own knowledge of what has been decided about toolsThe policy and the decisions, with date and who took them
HR or learning and developmentThe explanation per role, the onboarding of new staff and contractorsWho received which explanation, when, and about what
IT or the administratorThe register of tools with statuses, and the way the decision per tool reaches the employee at the moment of workThe register, who took which decision, and the aggregated figures on notices and highlights
Data protection officerAdvice on the content, the check whether measures fit the processing, flagging what is missingThe advice and the outcome of the check
The business, per teamThe use in its own work, and the oversight of systems that decide about peopleThe instruction per system and who was trained on it
Works councilInvolvement in how measurement is done, and in systems used on employeesThe advice or the consent

The DPO row deserves a note. Under the GDPR the data protection officer has an advisory and monitoring role and must be able to carry it out independently. Making the DPO owner of the training and the register asks them to monitor their own work. That is why "the DPO will handle it" goes wrong in almost every organisation: not because the DPO cannot do it, but because they can then no longer check anything.

Why does one owner not work?

An organisation that places AI literacy with HR gets a good course and a folder of attendance lists. What HR does not have: sight of which tools are actually in use, a way to show the decision per tool at the moment someone opens the tool, and figures on what happens after the course. Those three sit with IT.

An organisation that places it with IT gets a register and figures, but no explanation per role and nobody who knows whether the explanation fitted the people who received it. And an organisation that places it with the DPO gets good advice and loses the check.

The evidence an auditor asks for comes in three kinds that run exactly along these lines: the explanation and who received it, the agreements and decisions per role and per tool, and behaviour at the moment of work in aggregated figures. Why all three are needed is in how do you demonstrate AI literacy. For this piece the lesson is simpler: if the evidence comes in three parts held by three departments, someone has to be tasked with putting them together.

What does that look like at the municipality?

The board decides three things. HR remains owner of the explanation, but splits the AI module into a basis for everyone and a supplement for the teams that use systems to decide about residents or employees. IT remains owner of the register and takes on making the decision per tool visible at the moment someone opens a tool. The DPO gets no ownership, but a fixed place: each quarter she checks whether the explanation, the register and the figures still fit together, and records that check.

At the first check it turns out the register lists Copilot as allowed, and an inventory shows Perplexity, ChatGPT and three specialised tools in use alongside it, two of which appear nowhere in the register. HR had not covered those tools in the explanation, because they were not on the list. That is not an incident. It shows that without the quarterly check the three parts drift apart, and that a register containing only what was requested quickly falls behind what is happening.

Detections over timeLast 30 days
12,438+18% vs the previous period
Detections by platform
ChatGPT
ChatGPT
78% adjusted
8,124
Gmail
81% adjusted
3,210
Gemini
74% adjusted
812
Most encountered data types
Name
4,212
Email address
2,930
Credit card
1,486
Account number
1,104
Diagnosis
612
SensitiveHighly sensitive
BeeSensible dashboard: aggregated detections and top sources, without monitoring individuals.

BeeSensible links a catalogue of AI tools to the use observed in the organisation. An administrator sees which tools have no decision yet and records that decision; anyone who opens such a tool sees the decision in the browser. Every notice is counted with what the person did, without a user id, and the accountability view maps those figures onto measures per framework. What has been decided per tool is on the AI tools page.

What does the board record itself?

Two things, and they belong to the first row of the table. The decision on who carries what, with the agreement on who puts the three parts together and how often. And its own knowledge of what has been decided about AI tools, because a board that signs the policy without knowing which tools are allowed has skipped its own row. Article 4 applies to the people who set the policy too.

On measurement, the works council belongs at the table early. As soon as an organisation collects figures on AI use, that touches arrangements on which the council may have a right of consent. Measuring in aggregate and without a user id makes the conversation simpler, but it remains a conversation you have before you start. Why that distinction matters is in AI monitoring versus employee monitoring, and the other pieces on this subject are under AI governance.

The next time someone in the meeting asks who is responsible for AI literacy, the answer is not a name but a table with six rows, and the name of the person who puts them side by side every quarter.

FAQ

Common questions

Is the data protection officer responsible for AI literacy?

No. Under the GDPR the DPO has an advisory and monitoring role and must be able to check independently. Making the DPO owner of the training and the register means asking them to monitor their own work. The DPO advises on the content, checks whether the measures fit the processing, and points out what is missing. Ownership sits with the organisation.

Does management have to do anything itself for Article 4?

Yes, two things. Decide who carries what and record it, and know what has been decided about the AI tools in the organisation. Article 4 mentions the context and the people on whom systems are used; that weighing is a management task. A board that signs the policy without knowing which tools are allowed has skipped the first row of the table.

Why can HR not do it alone?

HR can organise an explanation and record who received it. HR does not know which tools are actually in use, cannot show the decision per tool at the moment of work, and has no figures on what happens after the explanation. Those three sit with IT. Without that part the organisation proves the day of the course and nothing about the weeks after.

Who keeps the evidence for an auditor?

Three parties each keep a part, and one of them puts it together. HR keeps the explanation per role and who received it. IT keeps the register with statuses, who took which decision, and the aggregated figures on notices and highlights. The DPO keeps their advice and the outcome of their check. The one who puts it together is often a compliance or privacy team, or the DPO in an advisory role.

Does the works council belong in this?

Usually not for the explanation itself, but yes for the way you measure. As soon as an organisation collects figures on AI use, that touches arrangements on which the works council may have a right of consent. Measuring in aggregate and without a user id makes the conversation simpler, but have it, and have it early.

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