{"answer_id":"praxikon:eu:ai-act:answer:ai-inkopen-buiten-de-eu","canonical_page":"https://www.praxikon.com/en/antwoord/ai-inkopen-buiten-de-eu","query":"We source AI from outside the EU. What do we need to arrange?","lang":"en","view":"full","mode":"scenario","question":"We source AI from outside the EU. What do we need to arrange?","situation":"You import, distribute or use an AI system from a provider established outside the Union, and want to know which duties land with you.","likely_role":"Deployer (the organisation)","note":"A provider established outside the Union must appoint an authorised representative in the EU before a high-risk system is placed on this market. Without one, you as importer or distributor can end up in the provider role yourself, with all the documentation and conformity duties that carries. Check this before purchase and record it contractually.","matched_terms":[],"dataset":{"id":"praxikon:sys:registry:dataset:ai-act-implementation-graph","version":"2.2.0","schema_version":"1.5.0","effective_at":"2026-08-08T00:00:00.000Z","known_at":"2026-09-06T00:00:00.000Z","last_reviewed_at":"2026-08-08T00:00:00.000Z","licence":"https://www.praxikon.com/nl/legal/terms","canonical_url":"https://www.praxikon.com/api/v1/entities"},"obligations":[{"slug":"value-chain-representative","label":"Articles 22-25: value chain and authorised representative","summary":"Role shifts in the AI value chain and the mandatory representative for non-EU providers.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/value-chain-representative","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 25 provides that a distributor, importer, deployer or third party becomes the provider when it puts its name on a high-risk system, substantially modifies it or changes its intended purpose so it becomes high-risk; Article 22 obliges third-country providers to appoint a written authorised representative in the Union.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Articles 22 and 25","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"official_fact","statement":"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.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amended Article 113 application dates","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"The most dangerous role switch is the unintended one: your own layer on top of a procured model, your own brand on a tool, and you suddenly carry the full provider duties. This belongs as a standing question in every AI project.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Articles 22 and 25","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Include the role question in the AI register and in project gates, and contractually define who supplies which information and cooperation on changes.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Articles 22 and 25","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-24-distributor-obligations","label":"Article 24: obligations of distributors","summary":"Before making a system available on the market the distributor verifies the marking, the declaration and the instructions for use plus compliance by provider and importer, and must afterwards be able to correct, withdraw or recall.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/article-24-distributor-obligations","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 24(1) requires distributors, before making a high-risk AI system available on the market, to verify that it bears the required CE marking, that it is accompanied by a copy of the EU declaration of conformity referred to in Article 47 and instructions for use, and that the provider and the importer of that system, as applicable, have complied with their obligations laid down in Article 16, points (b) and (c), and Article 23(3). Paragraph 2 prohibits making the system available while the distributor considers or has reason to consider, on the basis of the information in its possession, that it does not comply with the requirements of Section 2, and requires notification of the provider or the importer where the system presents a risk within the meaning of Article 79(1). Paragraph 3 requires storage and transport conditions that do not jeopardise compliance. Paragraph 4 requires a distributor that considers or has reason to consider that a system already made available does not comply with Section 2 to take the corrective actions necessary to bring it into conformity, to withdraw it or recall it, or to ensure that the provider, the importer or any relevant operator takes those actions; where the system presents a risk within the meaning of Article 79(1) it shall immediately inform the provider or importer and the competent authorities, giving details of the non-compliance and of any corrective actions taken. Paragraph 5 requires providing, upon a reasoned request, all information and documentation regarding actions taken under paragraphs 1 to 4. Paragraph 6 requires cooperation with the competent authorities.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 24(1)-(6)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"editorial_interpretation","statement":"The check in paragraph 1 looks light but contains an awkward element: you must also verify that the provider has complied with Article 16, point (c), which is having a quality management system in place under Article 17. You cannot see that on the packaging. In practice you anchor it in supplier terms with a statement from the provider and record what you checked. The centre of gravity of Article 24 sits in paragraph 4 though: many resellers assume recall is the manufacturer's business, while the provision also places that action on you, with the option of ensuring another party carries it out. That ensuring requires contractual grip arranged in advance, not during an incident.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 24(1)-(6)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Include the three checks of paragraph 1 in your resell or delivery process and keep a record per contract of what you saw. Also make sure you can tell within a day which customer uses which system in which version, because without that overview you cannot execute paragraph 4.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 24(1)-(6)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-23-importer-obligations","label":"Article 23: obligations of importers","summary":"Before placing a system on the market the importer verifies four things about the provider, and afterwards carries its own retention, information and notification package with a ten-year term.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/article-23-importer-obligations","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 23(1) requires importers, before placing a high-risk AI system on the market, to verify that the relevant conformity assessment procedure referred to in Article 43 has been carried out by the provider (point (a)), that the provider has drawn up the technical documentation in accordance with Article 11 and Annex IV (point (b)), that the system bears the required CE marking and is accompanied by the EU declaration of conformity referred to in Article 47 and instructions for use (point (c)), and that the provider has appointed an authorised representative in accordance with Article 22(1) (point (d)). Article 23(2) provides that an importer with sufficient reason to consider that the system is not in conformity, is falsified or is accompanied by falsified documentation shall not place it on the market until it has been brought into conformity, and that where the system presents a risk within the meaning of Article 79(1) the importer shall inform the provider, the authorised representative and the market surveillance authorities. Paragraph 3 requires indication of name, registered trade name or registered trade mark and contact address. Paragraph 4 requires storage and transport conditions that do not jeopardise compliance with Section 2. Paragraph 5 requires keeping, for 10 years, a copy of the certificate issued by the notified body and, where applicable, of the instructions for use and of the EU declaration of conformity referred to in Article 47. Paragraph 6 requires providing all necessary information and documentation upon a reasoned request in a language easily understood by the authority, and ensuring the technical documentation can be made available. Paragraph 7 requires cooperation with the competent authorities.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 23(1)-(7)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"editorial_interpretation","statement":"Article 23 gets underestimated because it looks like document control, and largely it is: you do not have to revalidate the model, you have to be able to show that you checked the four points. The pain sits elsewhere. Point (d) is the one that most often fails in practice: many providers outside the EU have not appointed an authorised representative, and then you simply may not place the system on the market, however far along the deal is. And paragraph 5 puts the ten-year term on you, not on the supplier: if that supplier no longer exists in five years, you still have to produce the documents.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 23(1)-(7)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Move the four verifications of Article 23(1) to the moment before contract signature instead of before delivery. Request the declaration of conformity, the technical documentation, proof of the Article 43 procedure and the authorised representative's details as a condition precedent in the purchase contract.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 23(1)-(7)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-26-deployer-obligations","label":"Article 26: obligations of deployers of high-risk AI systems","summary":"Twelve paragraphs governing day-to-day use: use in line with the instructions, human oversight by competent people, input data, monitoring and notification, log retention, informing workers before deployment, registration by public authorities and informing the people about whom decisions are made.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/article-26-deployer-obligations","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","citations":[{"kind":"official_fact","statement":"Article 26 imposes twelve paragraphs on deployers of high-risk AI systems. Paragraph 1 requires appropriate technical and organisational measures to ensure use in accordance with the accompanying instructions for use. Paragraph 2 requires assigning human oversight to natural persons who have the necessary competence, training and authority, as well as the necessary support. Paragraph 3 leaves other obligations and the freedom to organise one's own resources unaffected. Paragraph 4 requires, to the extent the deployer exercises control over the input data, that such data is relevant and sufficiently representative in view of the intended purpose. Paragraph 5 requires monitoring on the basis of the instructions for use and informing the provider in accordance with Article 72; where there is reason to consider that use may result in a risk within the meaning of Article 79(1), the deployer shall without undue delay inform the provider or distributor and the relevant market surveillance authority and suspend use, and upon identifying a serious incident shall immediately inform first the provider and then the importer or distributor and the market surveillance authorities. Paragraph 6 requires keeping the automatically generated logs under the deployer's control for a period appropriate to the intended purpose and of at least six months, unless Union or national law provides otherwise. Paragraph 7 requires deployers who are employers to inform workers' representatives and the affected workers, before putting into service or using the system at the workplace, that they will be subject to its use. Paragraph 8 imposes the registration obligations of Article 49 on public authorities and Union institutions, bodies, offices and agencies and prohibits use of a system not registered in the EU database referred to in Article 71. Paragraph 9 links the information provided under Article 13 to the data protection impact assessment under Article 35 of Regulation (EU) 2016/679. Paragraph 10 sets additional conditions for post-remote biometric identification in law enforcement. Paragraph 11 opens with the words without prejudice to Article 50 of this Regulation and requires deployers of Annex III systems that make or assist in making decisions related to natural persons to inform those persons that they are subject to the use of the system; for high-risk AI systems used for law enforcement purposes Article 13 of Directive (EU) 2016/680 applies. The transparency obligations of Article 50 have applied since 2 August 2026 and are separate from the date on which paragraph 11 starts to apply. Paragraph 12 requires cooperation with the competent authorities.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 26(1)-(12)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"editorial_interpretation","statement":"The 2 December 2027 date invites postponement, but two elements are preparation work today. Paragraph 7 requires you to inform workers' representatives and the affected workers before the system is put into service at the workplace, and that information is provided, where applicable, in line with existing rules and practice on informing workers. That touches employee participation, and such a process takes months rather than weeks in practice, so a system that must go live in 2027 is discussed in 2026. Paragraph 2 also connects to the human oversight that Article 14 imposes on system design: you must designate natural persons with competence, training, authority and support. That is emphatically not the same as the measures obligation in Article 4. Article 4 requires measures supporting AI literacy and does not require you to guarantee a particular level for individuals; Article 26(2) requires identifiable overseers with a mandate. Conflating the two leaves you believing a generic e-learning is enough while still having no overseer with room to decide. A third underestimated element is paragraph 11: informing the people about whom an Annex III system makes or helps make decisions is visible customer or candidate communication that you have to design across your own organisation.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 26(1)-(12)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"},{"kind":"recommended_action","statement":"Draw up now a list of the systems likely to qualify as high-risk from 2 December 2027 and add three columns: who exercises human oversight and with what mandate, when you will inform the works council and the affected workers, and how the persons concerned will receive the notice under paragraph 11. Plan the employee participation process a year ahead.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 26(1)-(12)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-4-ai-literacy","label":"Article 4: AI literacy","summary":"Providers and deployers take measures that support the development of AI literacy.","legal_status":"applicable","deadline_at":"2025-02-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/article-4-ai-literacy","api":"https://www.praxikon.com/api/v1/obligations?lang=en","official_source":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","citations":[{"kind":"official_fact","statement":"Since 27 July 2026, providers and deployers must take measures supporting the development of AI literacy. The provision does not require a guaranteed individual level.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amendment of Article 4; entry into force 27 July 2026","source_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj"},{"kind":"editorial_interpretation","statement":"Evidence is primarily a proportionate record of measures by role and context, not one prescribed course or certificate.","source_id":"praxikon:eu:ai-act:source:commission-ai-literacy-qa","source_locator":"Questions on measures, formats, certificates and records","source_url":"https://digital-strategy.ec.europa.eu/en/faqs/ai-literacy-questions-answers","eli":null},{"kind":"recommended_action","statement":"Inventory roles and AI systems, select appropriate measures and record the choice, implementation and periodic review.","source_id":"praxikon:eu:ai-act:source:commission-ai-literacy-qa","source_locator":"Implementation examples and evidence guidance","source_url":"https://digital-strategy.ec.europa.eu/en/faqs/ai-literacy-questions-answers","eli":null}]}],"conditional":[{"slug":"article-61-informed-consent","id":"praxikon:eu:ai-act:obligation:article-61-informed-consent","label":"Article 61: informed consent of test subjects for testing in real world conditions","status":"possibly_applies","source_locator":"Article 60(4), point (i), with Article 61(1)","addressee":"reader","human_page":"https://www.praxikon.com/en/verplichtingen/article-61-informed-consent"}],"sources":[{"id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","title":"EU Artificial Intelligence Act 2024/1689","publisher":"European Parliament and Council","canonical_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj","source_version":"original-oj-2024-07-12","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","title":"Digital Omnibus on AI 2026/1744","publisher":"European Parliament and Council","canonical_url":"https://eur-lex.europa.eu/eli/reg/2026/1744/oj","eli":"http://data.europa.eu/eli/reg/2026/1744/oj","source_version":"official-journal-2026-07-24","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:commission-ai-literacy-qa","title":"AI literacy questions and answers","publisher":"European Commission","canonical_url":"https://digital-strategy.ec.europa.eu/en/faqs/ai-literacy-questions-answers","eli":null,"source_version":"updated-2026-07-27","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:commission-ai-literacy-repository","title":"Living repository of AI literacy practices","publisher":"European Commission / AI Office","canonical_url":"https://digital-strategy.ec.europa.eu/en/policies/ai-literacy-practices","eli":null,"source_version":"living-repository-checked-2026-08-10","verified_at":"2026-08-08T00:00:00.000Z"}],"first_actions":[{"label":"Assess the value-chain role per system and change","summary":"On white-labelling, substantial modification or purpose change, assess whether your organisation becomes the provider, and arrange the representative for non-EU supply."},{"label":"Perform the Article 24(1) check before making available","summary":"Verify the CE marking, the presence of the EU declaration of conformity and the instructions for use, and whether the provider and importer complied with Article 16, points (b) and (c), and Article 23(3)."},{"label":"Run the four verifications of Article 23(1) before importing","summary":"Check and record: the conformity assessment has been carried out, the technical documentation exists, the CE marking plus declaration and instructions for use are present, and an authorised representative has been appointed."}],"evidence":[{"label":"Value-chain file","summary":"Record per system of role, contractual arrangements on information and cooperation, and the appointment of a representative where required.","url":null},{"label":"Distributor log of checks and corrective actions","summary":"A running record of what you checked, when, with what outcome and which action followed, because the supervisor asks about your conduct rather than about the system.","url":null},{"label":"Importer dossier with ten-year retention","summary":"Your own archive of the notified body certificate, the instructions for use and the EU declaration of conformity, available for ten years and in a language the authority easily understands.","url":null}],"guidance":[{"label":"No mandatory course format, no certificate, no exam and no AI officer","statement":"The Commission Q&A on AI literacy states that there is no one size fits all when it comes to AI literacy and that no strict requirements or mandatory trainings are imposed. On certification, the Q&A states literally that there is no need for a certificate and that organisations can keep an internal record of trainings or other guiding initiatives. On assessment, it states that Article 4 of the AI Act does not entail an obligation to measure the AI knowledge of employees. On governance, it states that no specific governance structure is mandated to comply with Article 4, so that unlike the data protection officer under the GDPR, no AI officer needs to be appointed. On the level, the Q&A states that following the Digital Omnibus amendment AI literacy remains an obligation for providers and deployers of AI systems, but that no specific or sufficient level is mandated and that the Regulation does not require guaranteeing any specific level of AI literacy of any individual. Against that, the Q&A states that simply relying on the AI systems' instructions for use or asking staff to read them might be ineffective, and that organisations should take into account general AI understanding within the organisation, whether they are a provider or a deployer, the risks associated with the systems deployed, staff knowledge gaps considering technical knowledge, experience, education and training, and contextual factors such as sector, purpose and affected populations. The Q&A further states that organisations may implement different levels of training or learning approaches depending on knowledge, experience, education and role, and that staff with a degree or experience in AI development are normally considered AI literate, while the organisation must still verify that those persons understand the specific AI systems of the organisation, know how to deal with them and are aware of all risks.","source_locator":"Commission Q&A on AI literacy, sections on required level, training formats, certificates, assessment of knowledge and governance structures (consulted 9 August 2026)"},{"label":"Article 4 reaches beyond your own staff, and the national supervisor enforces it","statement":"The Commission Q&A on AI literacy states that Article 4 applies to providers and deployers of AI systems and in addition to other persons dealing with the operation and use of AI systems on their behalf, covering persons broadly within the organisational remit, with a contractor, a service provider and a client given as examples. On clients, the Q&A states that they may need AI literacy depending on the specific risk, reasoning that affected persons should understand how decisions taken with the assistance of AI will have an impact on them. On geographic scope, the Q&A states that the AI Act's legal framework applies to both public and private actors inside and outside the EU as long as the AI system is placed on the Union market, used in the Union, or its use has an impact on people located in the EU. On supervision, the Q&A states that the supervision and enforcement of Article 4 is not with the AI Office but under the remit of national market surveillance authorities, and that supervision and enforcement began on 2 August 2026, while Article 4 itself entered into application on 2 February 2025. On sanctions, the Q&A states that national market surveillance authorities could impose penalties and other enforcement measures for infringements of Article 4, that this will be based on national laws that Member States were due to adopt by 2 August 2025, that any sanction must be proportionate and based on the individual case taking into account factors such as the nature and gravity of the infringement and its intentional or negligent character, and that sanctions are more likely if there is proof of an incident due to a lack of appropriate training and guidance. Article 4 is not listed in the enumeration in Article 99(4) of the AI Act, which covers only Articles 16, 22, 23, 24, 26, 31, 33(1), (3) and (4), 34 and 50, so the level of any penalty for Article 4 follows from national law rather than from the Regulation's own ceilings. The Q&A further states that Article 4 reinforces the transparency provisions of Article 13 and the human oversight provisions of Article 14 and indirectly contributes to the protection of affected persons, and that for deployers of high-risk systems the Article 26 obligation to ensure staff are trained to ensure human oversight is a distinct requirement; that requirement becomes applicable on 2 December 2027 for standalone Annex III systems and on 2 August 2028 for Annex I systems.","source_locator":"Commission Q&A on AI literacy, sections on target groups, geographic scope, supervision and enforcement, and sanctions (consulted 9 August 2026)"}],"examples":[{"label":"Facial recognition at access control: the guard behind the camera counts too","situation":"An organisation secures the entrances to its buildings with facial recognition and uses that biometric access control to register visitors as well. When the system returns no match, a security officer reviews the camera images and decides personally whether someone may enter. The question is whose measures have to reach that officer: those of the supplier of the model, those of the department that deploys the system, or both.","outcome":"Article 4(1) provides that providers and deployers of AI systems shall take measures to support the development of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf. In doing so they must take into account technical knowledge, experience, education and training and the context the AI systems are to be used in, and consider the persons or groups of persons on whom the AI systems are to be used. The same provision states that this obligation does not require providers or deployers to guarantee any specific level of AI literacy of any individual.","lesson":"We read the phrase about the persons on whom the system is used as the centre of gravity for biometrics: whoever stands in front of the camera is subject to the outcome and has little to set against it. That argues for equipping the officer who decides for himself when no match comes back more substantively than the colleague who merely switches the system on and off. The article itself names no sufficient level and expressly states that you need not guarantee one, so where the floor lies for each role stays open. In our assessment a record kept per role, stating the choice made and the reason for it, is easier to defend than one organisation-wide session backed only by an attendance list.","source_locator":"Article 4(1)","provenance":"editorial"},{"label":"Police using AI in investigations: context sets how deep the training goes","situation":"A police force uses AI to search large volumes of investigation files and surface connections a detective would otherwise miss. The outputs feed into the choice of which suspect is pursued further and end up in documents that enter the criminal process. The question is whether one and the same basic instruction is enough for the analyst operating the model and for the detective who acts on its output.","outcome":"Article 4(1) requires providers and deployers of AI systems to take measures supporting the development of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf. The provision prescribes that they take into account technical knowledge, experience, education and training and the context the AI systems are to be used in, as well as the persons or groups of persons on whom the AI systems are to be used. It also states that this obligation does not require any specific level of AI literacy of any individual to be guaranteed.","lesson":"Article 4 requires you to weigh the context of use and the people the system is applied to, and in law enforcement both factors run high on our reading. Whether a general introduction to what AI can do is then enough for someone carrying an output into a file that affects a person's position as a suspect, we doubt, but the provision expressly names no level you must guarantee, so that floor is yours to justify. We would record for each role what someone must be able to recognise, for instance that a discovered connection is not yet evidence, and revisit that choice periodically.","source_locator":"Article 4(1)","provenance":"editorial"},{"label":"Newsroom with generative AI: do freelancers count within your measures?","situation":"A newsroom uses generative AI to prepare summaries, headlines and imagery, after which an editor finishes the piece and the desk decides to publish. Part of that work sits with freelancers, and an outside agency produces marketing content with the same tools. The question is whether your AI literacy measures must reach those freelancers and that agency, or only the people on the payroll.","outcome":"Article 4(1) is addressed to providers and deployers of AI systems and requires them to take measures supporting the development of AI literacy of their staff and of other persons dealing with the operation and use of AI systems on their behalf. The provision requires them to take into account technical knowledge, experience, education and training and the context the AI systems are to be used in, as well as the persons or groups of persons on whom the AI systems are to be used. It does not require any specific level of AI literacy of any individual to be guaranteed.","lesson":"Alongside staff, the text expressly names other persons dealing with the operation and use of AI systems on your behalf, and we read that as a functional boundary rather than a contractual one. On that reading a freelance editor using your tool inside your workflow and on your instruction sits within your measures, employment contract or not. The outside agency is a harder case: if it works in your environment and on your instruction, the argument that it acts on your behalf holds up, but if it runs its own tools on its own account it is a deployer in its own right, and Article 4 does not say your measures must cover that work. In practice, in our assessment, that means recording in your agreements who works in which role and what instruction you give, rather than trusting the other side to arrange it.","source_locator":"Article 4(1)","provenance":"editorial"},{"label":"An induction call with the customer at the moment of go-live","situation":"Asimov AI is a micro organisation of at most fifteen people that supplies AI services for legislative work to government institutions and companies. With every new contract it holds one or more induction calls with the team leads and officials who will use the platform, explaining how the platform and the underlying models work and how hallucinations arise in this domain and can be mitigated.","outcome":"This practice was submitted by the organisation itself to the Commission living repository. The repository collects and shares practices; it does not approve them or set them as a standard.","lesson":"This practice puts literacy where the risk arises: with the people who will operate the system, at the moment they start. For a small provider that is also the only workable moment, because there is no training department to redo it later. Anyone adopting it should record who attended and what was explained, because otherwise the effort survives only in the participants memory a year on.","source_locator":"Living repository of AI literacy practices, practice submitted by the organisation concerned","provenance":"official"}],"standards":[],"definitions":[],"answer_page":"https://www.praxikon.com/en/antwoord/ai-inkopen-buiten-de-eu","follow_up_questions":[{"question":"We use AI in recruitment and selection. Is that high risk?","url":"https://www.praxikon.com/en/antwoord/ai-werving-selectie"},{"question":"We use AI in education or assessment. Is that high risk?","url":"https://www.praxikon.com/en/antwoord/onderwijs-toetsing"},{"question":"We are considering facial recognition or other biometrics. Is that allowed?","url":"https://www.praxikon.com/en/antwoord/biometrie-gezichtsherkenning"}],"disclaimer":"General interpretation, not legal advice. The official source remains authoritative.","methodology":"https://www.praxikon.com/en/methodologie"}