{"answer_id":"praxikon:eu:ai-act:answer:verboden-praktijken-check","canonical_page":"https://www.praxikon.com/en/antwoord/verboden-praktijken-check","query":"Does our AI use case fall under the prohibited practices?","lang":"en","view":"full","mode":"scenario","question":"Does our AI use case fall under the prohibited practices?","situation":"You want to be sure an existing or planned AI use case does not fall under the Article 5 prohibition, such as manipulation, social scoring or certain biometrics.","likely_role":"Provider and deployer alike","note":"The prohibitions apply since 2 February 2025 and carry the highest fine ceiling: up to 35 million euro or 7 percent of worldwide annual turnover. Screen per concrete use and context; the same technique can be prohibited in one context and permitted in another.","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":"article-5-prohibited-practices","label":"Article 5: prohibited practices","summary":"The prohibition of AI practices carrying unacceptable risk, such as manipulation, social scoring and certain biometric applications.","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-5-prohibited-practices","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":"The prohibited practices of Article 5 apply since 2 February 2025 and are the only AI Act category enforceable for that entire period. Violations carry the highest fine ceiling in the regulation: up to 35 million euro or 7 percent of worldwide annual turnover.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 5, Article 99(3) and Article 113(a)","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":"The Digital Omnibus adds a prohibition on AI for child sexual abuse material and non-consensual intimate synthetic content; the accompanying technical safeguards are required by 2 December 2026.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amendment to Article 5 and transition to 2 December 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":"The line often sits in the definitional details: the same technique can be prohibited in the workplace and permitted in another context. Screen per concrete use and context, not per technology, and do so before procurement or go-live.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 5(1)(a)-(h)","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":"Make the Article 5 screening the first step of every classification and record the outcome per system in the register, including the reasoning why a practice does not fall under the prohibition.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 5 read with Article 6 classification order","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}]},{"slug":"annex-iii-high-risk","label":"Annex III: high-risk AI","summary":"Classification route for standalone high-risk AI systems under Article 6(2) and Annex III.","legal_status":"upcoming","deadline_at":"2027-12-02T00:00:00.000Z","high_risk_regime_from":null,"human_page":"https://www.praxikon.com/en/verplichtingen/annex-iii-high-risk","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":"The core rules in Chapter III, Sections 1 to 3, for systems under Article 6(2) and Annex III become applicable on 2 December 2027.","source_id":"praxikon:eu:ai-act:source:reg-eu-2026-1744","source_locator":"Amended Article 113, Article 6(2) and Annex III application date","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 later application date does not remove the classification question. An early classification record avoids design and procurement decisions without evidence.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 6 and Annex III","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":"Document now the intended purpose, Annex III point, Article 6(3) assessment, profiling and selected registration path.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 6(2)-(4), Article 49 and Annex III","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-9-risk-management","label":"Article 9: risk management system","summary":"A continuous, documented risk management system across the entire lifecycle of a high-risk AI system.","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-9-risk-management","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 9 requires a risk management system as a continuous, iterative process across the entire lifecycle, with identification, analysis, evaluation and mitigation of risks to health, safety and fundamental rights, and testing to determine the most appropriate measures.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 9(1)-(10)","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":"This is not a one-off risk analysis but a living process: most organisations have an assessment, but no cycle that reruns on every change. The cycle is what a supervisor will request.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 9(1)-(10)","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":"Start the risk management file now for systems that will become high-risk towards 2 December 2027: today’s design and procurement choices determine tomorrow’s residual risks.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 9(1)-(10)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]},{"slug":"article-20-corrective-actions","label":"Article 20: corrective actions and duty of information","summary":"A provider that considers, or has reason to consider, that a high-risk AI system it has placed on the market or put into service is not in conformity with the Regulation must immediately take the necessary corrective actions and inform the distributors accordingly, and, where applicable, also the deployers, the authorised representative and the importers. Where that system also presents a risk within the meaning of Article 79(1), the provider must immediately investigate the causes and inform the competent market surveillance authorities and, where applicable, the notified body that issued a certificate under Article 44.","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-20-corrective-actions","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":"Paragraph 1. Providers of high-risk AI systems which consider or have reason to consider that a high-risk AI system that they have placed on the market or put into service is not in conformity with this Regulation shall immediately take the necessary corrective actions to bring that system into conformity, to withdraw it, to disable it, or to recall it, as appropriate. They shall inform the distributors of the high-risk AI system concerned and, where applicable, the deployers, the authorised representative and importers accordingly. Paragraph 2. Where the high-risk AI system presents a risk within the meaning of Article 79(1) and the provider becomes aware of that risk, it shall immediately investigate the causes, in collaboration with the reporting deployer, where applicable, and inform the market surveillance authorities competent for the high-risk AI system concerned and, where applicable, the notified body that issued a certificate for that high-risk AI system in accordance with Article 44, in particular, of the nature of the non-compliance and of any relevant corrective action taken.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 20(1)-(2)","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":"Article 1, point (40)(b), of Regulation (EU) 2026/1744, replacing Article 113, third paragraph, point (c), of Regulation (EU) 2024/1689","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":"This provision is rarely read as a procedure, and that is exactly where it goes wrong. Article 20 places four measures side by side that differ sharply in practice, and those four are not legally equivalent. Recall and withdrawal are defined in Article 3(16) and (17), and the knowledge base carries those terms separately; the difference between them is the point in the chain. Bringing a system into conformity is the patch. Disabling is the odd one out: it is practically the heaviest switch, because it stops a customer who is running the system, and it is at the same time the only one of the four the Regulation nowhere defines. Anyone who copies that word into a contract or procedure without deciding for themselves what it means leaves the heaviest measure the vaguest. The second half is the notification, and in practice that is what fails most often. Paragraph 1 asks you to reach your distributors and, where applicable, your deployers, authorised representatives and importers, which is only possible if you hold a current list of who runs the system in which version and through which contact you reach them. That list is not a by-product of your CRM: resale, white labelling and integration mean you have customers you do not know.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 20(1)-(2)","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":"Paragraph 2 and Article 73 are often built as a single reporting channel, and that goes wrong in two ways. The trigger differs: Article 73 concerns a serious incident that has occurred, Article 20(2) a risk within the meaning of Article 79(1), that is, a risk to the health, safety or fundamental rights of persons. That is not a tidy split between past and future: a serious incident that has occurred usually also means the system presents a risk, so in practice both provisions often fire at the same time. Nor do the recipients differ entirely, because both routes run to market surveillance authorities. The difference sits in the detail: Article 73(1) points to the authorities of the Member States where the incident occurred, Article 20(2) to the authorities competent for the system concerned, and only Article 20(2) adds the notified body that issued a certificate under Article 44. Only Article 73, moreover, sets hard deadlines. So build one internal process with two exits, not two separate channels and not one channel that forgets the notified body.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 20(2), Article 73(1)-(2) and Article 79(1)","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":"Write out the four measures in paragraph 1 as four concrete scenarios with an owner, a decision maker and a lead time, and decide for yourself what disabling means in your system, because the Regulation does not define that term. Test at least once whether you can actually disable or recall a system without needing a fresh decision to do so. Also keep a record, per system version, of who runs it and through which contact you reach that party, and record which signal meets the \"reason to consider\" threshold in your organisation, so that the moment of becoming aware is demonstrable rather than something reconstructed after the fact.","source_id":"praxikon:eu:ai-act:source:reg-eu-2024-1689","source_locator":"Article 20(1)-(2)","source_url":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","eli":"http://data.europa.eu/eli/reg/2024/1689/oj"}]}],"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-draft-high-risk-classification-guidelines","title":"Draft guidelines on the classification of high-risk AI systems","publisher":"European Commission (AI Office)","canonical_url":"https://digital-strategy.ec.europa.eu/en/library/draft-commission-guidelines-classification-high-risk-ai-systems","eli":null,"source_version":"draft-for-consultation-2026-05-19","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:cen-cenelec-jtc21","title":"CEN-CENELEC JTC 21: European standards under standardisation request M/613","publisher":"CEN-CENELEC JTC 21","canonical_url":"https://www.cencenelec.eu/areas-of-work/cen-cenelec-topics/artificial-intelligence/","eli":null,"source_version":"work-programme-checked-2026-08-08","verified_at":"2026-08-08T00:00:00.000Z"},{"id":"praxikon:eu:ai-act:source:commission-prohibited-practices-guidelines","title":"Guidelines on prohibited AI practices, C(2025) 5052 final","publisher":"European Commission","canonical_url":"https://digital-strategy.ec.europa.eu/en/library/commission-publishes-guidelines-prohibited-artificial-intelligence-ai-practices-defined-ai-act","eli":null,"source_version":"c-2025-5052-final-2025-07-29","verified_at":"2026-08-08T00:00:00.000Z"}],"first_actions":[{"label":"Screen every use case against Article 5 first","summary":"Before procurement, build or deployment, check whether the use case falls under a prohibited practice and stop or redesign early rather than after the fact."},{"label":"Take role- and context-specific AI literacy measures","summary":"Determine for each role, system and context which combination of instruction, guidance, practice or training is appropriate."},{"label":"Justify the Article 6(3) exception against each individual condition","summary":"Name which of the four Article 6(3) conditions you invoke, with facts, and separately justify why the system poses no significant risk of harm to health, safety or fundamental rights and does not materially influence the outcome of decision making."}],"evidence":[{"label":"Article 5 screening record","summary":"A record per system that the Article 5 screening was performed, with outcome and reasoning. The conclusion \"no prohibited practice\" is evidence too.","url":null},{"label":"AI literacy measures record","summary":"Versioned record of roles, context, measures, participation or instruction and review moments.","url":null},{"label":"Article 49(2) registration record for the system assessed as not high-risk","summary":"Proof that the system for which you invoke the Article 6(3) exception is registered as Article 49(2) requires, with the registration number linked to the underlying assessment.","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)"},{"label":"Article 6 has two separate routes to high-risk","statement":"The European Commission's draft guidelines on the classification of high-risk AI of 19 May 2026, which are expressly non-binding, state in paragraph (7) that an AI system is high-risk in two scenarios: first, where it is intended to be used as a safety component of a product, or is itself a product, covered by the Union harmonisation legislation listed in Annex I and required to undergo third-party conformity assessment; and second, where it falls within one of the use cases in the areas listed in Annex III. Paragraph (448) of those same draft guidelines notes that the Article 113 application dates have been postponed by the AI Omnibus to 2 December 2027 for the Article 6(2) route and 2 August 2028 for the Article 6(1) route.","source_locator":"Draft guidelines on high-risk AI classification (19 May 2026), General principles chapter, section II, paragraph (7); section V, paragraph (448)"},{"label":"Broadly positioned and general purpose AI systems: a disclaimer is not enough","statement":"According to the non-binding draft guidelines of 19 May 2026 on the classification of high-risk AI, paragraph (12) provides that where the instructions for use, contractual arrangements, terms of service, usage policy, promotional and sales materials or technical documentation present the AI system as broadly applicable across a generality of contexts and functions, and do not consistently limit its application or exclude high-risk uses, the system's intended purpose will be deemed to also encompass high-risk use cases and therefore qualify as high-risk. Under these draft guidelines this applies in particular where such uses are feasible and reasonably foreseeable given the system's functionalities and capabilities. The same paragraph states that merely asserting, for example in the terms of service, that high-risk uses are excluded is insufficient where the provider's overall presentation, examples or product positioning effectively provides for or promotes such uses, and that any limitations of use must be described clearly, concretely and coherently across all materials.","source_locator":"Draft guidelines on high-risk AI classification (19 May 2026), General principles chapter, section II.2, paragraph (12)"}],"examples":[{"label":"Inferring political opinions from uploaded photos","situation":"A platform analyses the biometric data in photos users have uploaded to infer their assumed political orientation and serve them targeted political messages. A comparable system infers assumed sexual orientation in order to serve advertisements.","outcome":"The Commission guidelines on prohibited AI practices treat this case as a worked example under Article 5. The document is non-binding: authoritative interpretation rests with the Court of Justice.","lesson":"Relying on the ancillary feature exception requires that the feature is also strictly necessary for objective technical reasons alongside the main service, since both conditions apply cumulatively and advertising purposes do not meet that bar.","source_locator":"Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5","provenance":"official"},{"label":"Medical exception: accessibility yes, burnout detection no","situation":"An employer wants to deploy emotion recognition. In one scenario the system assists employees with autism and improves accessibility for blind and deaf colleagues. In the other it measures stress levels to flag burnout, boredom or loss of motivation.","outcome":"The Commission guidelines on prohibited AI practices treat this case as a worked example under Article 5. The document is non-binding: authoritative interpretation rests with the Court of Justice.","lesson":"The medical exception is narrow: supporting a specific impairment qualifies, general monitoring of wellbeing, stress or motivation does not, and data gathered under a permitted use may not be reused for other purposes.","source_locator":"Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5","provenance":"official"},{"label":"Facial recognition company builds a database from social media","situation":"A software company runs an automated image scraper across the internet to detect images containing human faces on social media, stores them with source URL, geolocation and sometimes names, and converts the facial features into mathematical representations against which an uploaded photo can be matched.","outcome":"The Commission guidelines on prohibited AI practices treat this case as a worked example under Article 5. The document is non-binding: authoritative interpretation rests with the Court of Justice.","lesson":"Images published publicly on social media do not amount to consent, and the decisive point is targeting: untargeted collection for a database capable of matching faces stays prohibited even when done step by step.","source_locator":"Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5","provenance":"official"},{"label":"Live facial recognition at a football stadium","situation":"Police install a van with mobile cameras and live facial recognition at the main entrance of a stadium during a European Championship match. The watchlist covers people suspected of offences ranging from serious crime to fraud and burglary, plus people of possible intelligence interest and vulnerable persons with mental health issues. There is no information linking a specific person to this event.","outcome":"The Commission guidelines on prohibited AI practices treat this case as a worked example under Article 5. The document is non-binding: authoritative interpretation rests with the Court of Justice.","lesson":"A watchlist that mixes different kinds of suspicion and is not tied to the specific event is too unspecific, and the presence of one person for whom deployment would be allowed does not legitimise the whole operation.","source_locator":"Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5","provenance":"official"}],"standards":[{"label":"ISO/IEC 23894: guidance on risk management for AI","summary":"The international guidance for AI-specific risk management, usable as an interim structure while prEN 18228 remains in draft.","statement":"ISO/IEC 23894:2023 (Information technology: Artificial intelligence: Guidance on risk management) was published in February 2023 and is the first international standard dealing specifically with risk management for AI. It is non-prescriptive and built on the ISO 31000 structure. The text was adopted by CEN-CENELEC as EN ISO/IEC 23894:2024. It is not cited in the Official Journal and therefore confers no presumption of conformity under Article 40 of the AI Act. The deliverable intended to do so for Article 9 is prEN 18228."},{"label":"prEN 18228: AI risk management for high-risk systems","summary":"The draft European standard filling in the Article 9 risk management system, built on a product-safety logic rather than an enterprise-risk logic.","statement":"prEN 18228 (AI risk management) is the JTC 21 deliverable under M/613 intended to confer presumption of conformity with Article 9 of the AI Act: the risk management system that providers of high-risk AI systems must establish, implement, document and maintain across the full lifecycle. The public Enquiry ran until 30 July 2026. The standard has not yet been published as an EN and is not cited in the Official Journal. The prEN designation means it is a draft text."}],"definitions":[],"answer_page":"https://www.praxikon.com/en/antwoord/verboden-praktijken-check","follow_up_questions":[{"question":"We are considering facial recognition or other biometrics. Is that allowed?","url":"https://www.praxikon.com/en/antwoord/biometrie-gezichtsherkenning"},{"question":"What fines and enforcement does the AI Act have and who supervises?","url":"https://www.praxikon.com/en/antwoord/boetes-handhaving"},{"question":"We use AI to monitor or evaluate employees. What applies?","url":"https://www.praxikon.com/en/antwoord/werknemers-monitoren"}],"disclaimer":"General interpretation, not legal advice. The official source remains authoritative.","methodology":"https://www.praxikon.com/en/methodologie"}