Control over AI
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Compliance and AI 6 min read

Can one AI tool be both low and high risk?

Yes. The risk depends on what you use the tool for, which data goes in and which account it runs under. The AI Act looks at purpose, not at the name.

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Quick answer

Yes. An AI tool's risk lies not in the tool itself but in three things that vary from one situation to the next: what you use it for, which data goes in and which account it runs under. A chatbot that drafts a job advert and the same chatbot ranking candidates are two different applications. The AI Act classifies applications by their intended purpose, not tools by their name: assessing candidates is listed in Annex III as high-risk, writing a text is not. So one tool often needs several decisions, each with its own status and condition.

01

Risk attaches to use, data and account, not to the name of the tool

02

The AI Act classifies applications by intended purpose, so ChatGPT for a job advert and ChatGPT for assessing candidates fall into different categories

03

The GDPR question changes with the data involved in each use

04

A free account and a business account for the same tool need separate assessments

05

One tool therefore often gets several decisions, each with a status and a condition

A privacy officer at a housing association gets two questions about the same tool in one week. Marketing wants to use ChatGPT to make job adverts read better. HR wants to use it to pre-sort the fifty applications for a vacancy, which would save a day of reading. Both teams expect the same answer, since it is the same tool.

She gives two different answers, and that is not inconsistency. One AI tool can be low and high risk at the same time, because the risk attaches not to the tool but to the use, the data and the account. The AI Act takes exactly the same approach: it classifies applications by their purpose, not tools by their name.

Why doesn't the risk attach to the tool?

An assessment of an AI tool has two halves. The first is about the vendor and the product: what happens to input, whether it is used for training, where processing takes place and whether there is a data processing agreement (DPA). That half is the same for every department. The second half is about the organisation: what the team will use the tool for and which personal data that involves. That half differs from request to request, and it is the one most often skipped. How those dimensions relate is set out in how to assess the risk of an AI tool.

Do only the first half and you end up with one verdict per tool. Do both and you end up with one verdict per use.

What changes with the purpose?

This is where the AI Act comes in, and the phrase everything hinges on is "intended purpose". The regulation classifies an AI system as high-risk when its intended purpose is listed in Annex III. Point 4 of that annex covers employment: filtering applications, evaluating candidates, deciding on promotion or dismissal and monitoring performance. Drafting a job advert is not on the list.

For the housing association, that means marketing's request does not touch Annex III. HR's request does, with one caveat. A general-purpose chatbot is not intended by its provider as a selection system, so a recruiter who pastes individual CVs into it is not using a high-risk system within the meaning of the law. If the organisation builds the model into the recruitment process and lets it decide who gets an interview, it has created a high-risk system itself and moves from deployer to provider. What that entails is covered in the EU AI Act for employers.

That caveat is not a free pass. Either way, the recruiter is making a decision about people with a tool that was not assessed for that purpose, and the GDPR and the organisation's own policy apply.

What changes with the data?

The GDPR asks the question from the other side: not what the system is, but which personal data is processed and on what basis. A job advert contains none. Fifty applications contain names, addresses, dates of birth, work histories and sometimes a line about health or family. What that brings into play, from lawful basis to human involvement, is covered in using AI safely in HR.

Same tool, two processing operations. For the second, you want to know whether there is a DPA, whether input is retained and whether it is used for training. Which brings us to the account.

What changes with the account?

The recruiter uses ChatGPT through a free account that was already on her laptop. Marketing has a business licence through the department. That is no small detail: the free account runs under consumer terms, without a DPA and, with most vendors, with training on input switched on by default unless the user turns it off. The business account handles all three differently. Why the line between account types matters more than the line between brands is explained in free versus business AI accounts.

For classification under the AI Act the account makes no difference; the purpose decides. For the risk under the GDPR it is the difference between a processing operation you can account for and one you cannot. That is why free and business versions of the same tool appear as separate rows in a register.

What does that look like for one tool?

Put the three variables side by side and one tool splits into a few rows.

UseDataAccountAI ActGDPRDecision
Drafting a job advertNo personal dataBusiness licenceNot high-riskNo processing of personal dataAllowed
Summarising cover lettersCandidates' personal dataFree accountNot high-risk, but a decision about peopleProcessing without a DPANot allowed through this account
Ranking candidates as a fixed step in selectionPersonal data, possibly special categoriesBusiness licenceBecomes high-risk once built into the processHigh-risk processing, DPIA in scopeNo decision yet, assess first

The table answers the question in the title. The first row is low risk and the third is high, yet it is the same tool. A register with a single row for ChatGPT gets one of the three wrong.

How did things turn out at the housing association?

The privacy officer gives marketing the go-ahead, with the business licence as the condition. HR gets a different answer: summarising applications is not allowed through the free account, and ranking candidates will first be assessed as a separate application, including who has oversight and what the vendor has documented about how it works. Until then, the status stays "No decision yet".

Meanwhile, an inventory shows that alongside Copilot, which was already allowed, Perplexity, ChatGPT and three specialist tools are in use, two of which are not yet in the register. That is not an incident. It shows that a one-off inventory quickly goes out of date, and that a conversation about one tool usually starts with which tools are in use at all.

BeeSensible links a catalogue of AI tools to the use observed in the organisation: only the domain, at most once a day per device, with no user ID. Free and business versions of the same tool appear in it as separate rows, each with its own risk score and an indicative EU AI Act category. That score is advice about the tool; a catalogue cannot know the use and the data, which is why the organisation sets the status itself, with a condition under "Limited use" that defines the permitted use. How that works is explained on the AI tools page.

AI register
AllowedUnder reviewNot allowedAll tools
Search by tool, vendor, domain or former name…
1,012 tools
DeepSeek
Critical · 90/100
Not allowed
Otter.aiNew
High · 68/100
No decision yet
Grok
High · 67/100
Not allowed
ChatGPT
High · 62/100
Allowed
Perplexity
Medium · 55/100
No decision yet
HeyGen
Medium · 53/100
No decision yet

Every tool, scored for risk

Over 1,000 AI tools, each scored from Low to Critical. Nothing is approved or blocked until someone decides.

More about AI Governance

The decision is only complete when it reaches the recruiter as she opens the tool. A condition in a circulated document is forgotten six months later; one that appears in the browser when the tool opens is not. The other articles on this subject are under AI governance.

The next time someone asks whether a tool is allowed, the counter-question is not "which tool" but "for what, with which data and through which account". Three answers, and usually more than one decision.

FAQ

Common questions

Is ChatGPT a high-risk system under the AI Act?

Not for writing, summarising and translating text. In the AI Act, high risk attaches to the intended purpose of an application, and those purposes are listed in Annex III: among them recruitment, selection, evaluating employees and access to education or credit. A general-purpose language model has no purpose that fits that list. That changes when an organisation builds such a model into a process that is on the list.

Why does the same tool score low in one department and high in another?

Because a risk assessment is partly about the tool and partly about the organisation. What the vendor does with input, where it processes data and whether a data processing agreement exists are properties of the tool and the account. What the tool is used for and which personal data comes with that are properties of the use. Two departments share the first half and differ in the second.

Do you need a separate assessment per use?

For each use that differs materially, yes. The vendor part only needs doing once. The part about the use, the data and the account is done for each application. In practice that means two or three rows per tool instead of one, each with its own status and, where needed, a condition.

How do you record that a tool is fine for one thing and not for another?

With the status "Limited use" and a condition that defines the permitted use, for example: only through the business licence and not for assessing candidates. That condition belongs in the register, and in front of people when they open the tool. A decision that only lives in a document does not reach the recruiter who opens the tool on a Thursday afternoon.

Does the account type matter for classification under the AI Act?

Not for the classification: that attaches to the intended purpose, not to the subscription. For the risk under the GDPR it does. A free account runs under consumer terms, without a data processing agreement and often with training on input as the default. A business account handles all three differently. That is why free and business versions of the same tool appear as separate rows in a register.

Portrait of Rens Timmermans from BeeSensible

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