[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2Wsx2-VekbUsZ-yj9mcIcSdcJLlf8UM-c4tu3sV0DAk":3,"$fDuOfbrGklFg9DNstLQj01v77JKgm8YTNP3W1V3nd5U4":76,"faq-section-":232,"white_papers":233},{"tableOfContents":4,"markDownContent":5,"htmlContent":6,"metaTitle":7,"metaDescription":8,"wordCount":9,"readTime":10,"title":11,"nbDownloads":12,"excerpt":13,"lang":14,"url":15,"intro":8,"featured":4,"state":16,"author":17,"authorId":18,"datePublication":22,"dateCreation":23,"dateUpdate":24,"mainCategory":25,"categories":41,"metaDatas":65,"imageUrl":66,"imageThumbUrls":67,"id":75},false,"On August 21, 2026, the Dutch data protection authority [Autoriteit Persoonsgegevens (AP)](https://www.autoriteitpersoonsgegevens.nl/en/current/uber-fined-nearly-825-million-euros-for-automated-driver-blocking) imposed a fine of **€824,990,000** on Uber B.V. and Uber Technologies Inc.\\\nThe case concerns fully automated individual decisions taken against platform drivers, in particular account deactivations triggered by fraud suspicions or low ratings, **without any real human intervention.** [CNIL, which was involved in the case, published its statement on August 24.](https://www.cnil.fr/en/decisions-automatisees-sanction-de-pres-de-825-millions-deuros-lencontre-duber)\n\nThis amount makes it the second-highest GDPR fine ever imposed, behind the €1.2 billion penalty issued to Meta in 2023. It represents approximately 1.85% of Uber’s global turnover (€44.5 billion in 2025), or nearly half of the legal ceiling of 4% provided for by the Regulation.\n\n## The AP's findings against Uber\n\nThe case dates back to 2020: 171 French drivers, supported by the Ligue des droits de l’Homme, had referred the matter to the CNIL after seeing their accounts suspended or permanently deactivated. Since Uber is established in the Netherlands, the AP became the lead supervisory authority under the one-stop-shop mechanism, with CNIL participating in the investigation (review of evidence, examination of the draft decision).\n\nFor the period from 2018 to 2022, the investigation established that Uber’s automated systems triggered:\n\n- temporary account suspensions in cases of suspected fraud, notably suspicious “detours”;\n- temporary or permanent deactivations based on customer ratings deemed too low.\n\nIn both cases, **no human reviewed the situation before the sanction was applied, which had an immediate effect on the income of the drivers concerned.**\n\nThe AP also found a **breach of the transparency obligation: drivers were not sufficiently informed of the existence and logic** of this automated processing.\n\n## The core issue: Article 22 of the GDPR\n\nArticle 22 of the GDPR sets out a clear principle: a person has the right not to be subject to a decision based solely on automated processing, where that decision produces legal effects concerning them or similarly significantly affects them. For the AP, cutting off a driver’s access to the platform, and therefore to their income, falls within this category.\n\nAP Vice-President Monique Verdier expressed the principle as follows: a computer should not make on its own decisions that have major consequences for a person; such decisions must first be reviewed by a human being. The authority clarifies what it means by **“human intervention”**: a genuine power to overturn the algorithmic decision, actually exercised, and not merely a formal validation stamped onto a machine output.\n\n> The decision is **particularly relevant as organizations increasingly automate their processes and deploy AI.** The AP’s message is clear: human oversight is not a mere checkbox on a compliance checklist, but must be genuinely effective.\n\n## What happens next\n\nUber has announced that it will appeal, which suspends enforcement of the fine, likely for several years. The company disputes, among other things, that permanent deactivations were fully automated, states that fraud-related suspensions were generally brief, says that only 126 drivers were permanently deactivated in Europe in 2021, and claims that it has since changed its policies to incorporate human review and an appeals process.\n\nThe litigation will therefore largely turn on what counts, in practice, as genuine human intervention - a question that goes beyond Uber alone.\n\nThis case fits into a broader history of sanctions already imposed on Uber under the GDPR: €600,000 in 2018, €10 million in 2023 for failing to inform drivers, and €290 million in 2024 for transfers of data outside the EU, both of which are also being challenged. The total now exceeds €1 billion.\n\n## What organizations can learn from this\n\nFor any organization that automates decisions affecting individuals (customers, employees, contractors, drivers, job applicants), this decision clarifies several practical expectations beyond the transport-platform context.\n\nDocumenting a process is not enough: it must be possible to demonstrate, using operational evidence (intervention logs, rates of actually reviewed decisions, cases where the automated decision was overturned), **that human intervention exists in practice.**\n\nThe person responsible for validation must have the time, information, and authority needed to change or cancel the decision; a workload that allows only a superficial review does not constitute meaningful intervention within the meaning adopted by regulators.\n\nIt is also advisable to **review the mapping of automated processing activities with significant impact** (access to a service, income, employment, credit) in order to check their qualification under Article 22, and **to provide data subjects with adequate information about the logic of the processing.**\n\nFinally, as automated decision-making systems and AI continue to expand, **the gap between the defined policy and the system’s actual behavior becomes a key point of attention.** A written compliance policy such as “a human validates the decision” **only has value if the production system actually applies it.**\n\n> The compliance gap is then between the procedure document and the actual behavior of the technical pipeline. A DPIA that describes a human review process, while the system automatically deactivates accounts without ever requesting such a review, does not reflect real practice.\n\n## In short\n\nThis €825 million fine illustrates the practical application of Article 22 of the GDPR to an automated decision-making case. It shows that formal human intervention, without any real power to change the decision, is not enough to satisfy the Regulation’s requirements, and that organizations automating high-impact decisions must be able to provide operational proof of compliance.","\u003Cp>On August 21, 2026, the Dutch data protection authority \u003Ca href=\"https://www.autoriteitpersoonsgegevens.nl/en/current/uber-fined-nearly-825-million-euros-for-automated-driver-blocking\" rel=\"nofollow\">Autoriteit Persoonsgegevens (AP)\u003C/a> imposed a fine of \u003Cstrong>€824,990,000\u003C/strong> on Uber B.V. and Uber Technologies Inc.\u003Cbr />\nThe case concerns fully automated individual decisions taken against platform drivers, in particular account deactivations triggered by fraud suspicions or low ratings, \u003Cstrong>without any real human intervention.\u003C/strong> \u003Ca href=\"https://www.cnil.fr/en/decisions-automatisees-sanction-de-pres-de-825-millions-deuros-lencontre-duber\" rel=\"nofollow\">CNIL, which was involved in the case, published its statement on August 24.\u003C/a>\u003C/p>\n\u003Cp>This amount makes it the second-highest GDPR fine ever imposed, behind the €1.2 billion penalty issued to Meta in 2023. It represents approximately 1.85% of Uber’s global turnover (€44.5 billion in 2025), or nearly half of the legal ceiling of 4% provided for by the Regulation.\u003C/p>\n\u003Ch2 id=\"the-aps-findings-against-uber\">The AP's findings against Uber\u003C/h2>\n\u003Cp>The case dates back to 2020: 171 French drivers, supported by the Ligue des droits de l’Homme, had referred the matter to the CNIL after seeing their accounts suspended or permanently deactivated. Since Uber is established in the Netherlands, the AP became the lead supervisory authority under the one-stop-shop mechanism, with CNIL participating in the investigation (review of evidence, examination of the draft decision).\u003C/p>\n\u003Cp>For the period from 2018 to 2022, the investigation established that Uber’s automated systems triggered:\u003C/p>\n\u003Cul>\n\u003Cli>temporary account suspensions in cases of suspected fraud, notably suspicious “detours”;\u003C/li>\n\u003Cli>temporary or permanent deactivations based on customer ratings deemed too low.\u003C/li>\n\u003C/ul>\n\u003Cp>In both cases, \u003Cstrong>no human reviewed the situation before the sanction was applied, which had an immediate effect on the income of the drivers concerned.\u003C/strong>\u003C/p>\n\u003Cp>The AP also found a \u003Cstrong>breach of the transparency obligation: drivers were not sufficiently informed of the existence and logic\u003C/strong> of this automated processing.\u003C/p>\n\u003Ch2 id=\"the-core-issue-article-22-of-the-gdpr\">The core issue: Article 22 of the GDPR\u003C/h2>\n\u003Cp>Article 22 of the GDPR sets out a clear principle: a person has the right not to be subject to a decision based solely on automated processing, where that decision produces legal effects concerning them or similarly significantly affects them. For the AP, cutting off a driver’s access to the platform, and therefore to their income, falls within this category.\u003C/p>\n\u003Cp>AP Vice-President Monique Verdier expressed the principle as follows: a computer should not make on its own decisions that have major consequences for a person; such decisions must first be reviewed by a human being. The authority clarifies what it means by \u003Cstrong>“human intervention”\u003C/strong>: a genuine power to overturn the algorithmic decision, actually exercised, and not merely a formal validation stamped onto a machine output.\u003C/p>\n\u003Cblockquote>\n\u003Cp>The decision is \u003Cstrong>particularly relevant as organizations increasingly automate their processes and deploy AI.\u003C/strong> The AP’s message is clear: human oversight is not a mere checkbox on a compliance checklist, but must be genuinely effective.\u003C/p>\n\u003C/blockquote>\n\u003Ch2 id=\"what-happens-next\">What happens next\u003C/h2>\n\u003Cp>Uber has announced that it will appeal, which suspends enforcement of the fine, likely for several years. The company disputes, among other things, that permanent deactivations were fully automated, states that fraud-related suspensions were generally brief, says that only 126 drivers were permanently deactivated in Europe in 2021, and claims that it has since changed its policies to incorporate human review and an appeals process.\u003C/p>\n\u003Cp>The litigation will therefore largely turn on what counts, in practice, as genuine human intervention - a question that goes beyond Uber alone.\u003C/p>\n\u003Cp>This case fits into a broader history of sanctions already imposed on Uber under the GDPR: €600,000 in 2018, €10 million in 2023 for failing to inform drivers, and €290 million in 2024 for transfers of data outside the EU, both of which are also being challenged. The total now exceeds €1 billion.\u003C/p>\n\u003Ch2 id=\"what-organizations-can-learn-from-this\">What organizations can learn from this\u003C/h2>\n\u003Cp>For any organization that automates decisions affecting individuals (customers, employees, contractors, drivers, job applicants), this decision clarifies several practical expectations beyond the transport-platform context.\u003C/p>\n\u003Cp>Documenting a process is not enough: it must be possible to demonstrate, using operational evidence (intervention logs, rates of actually reviewed decisions, cases where the automated decision was overturned), \u003Cstrong>that human intervention exists in practice.\u003C/strong>\u003C/p>\n\u003Cp>The person responsible for validation must have the time, information, and authority needed to change or cancel the decision; a workload that allows only a superficial review does not constitute meaningful intervention within the meaning adopted by regulators.\u003C/p>\n\u003Cp>It is also advisable to \u003Cstrong>review the mapping of automated processing activities with significant impact\u003C/strong> (access to a service, income, employment, credit) in order to check their qualification under Article 22, and \u003Cstrong>to provide data subjects with adequate information about the logic of the processing.\u003C/strong>\u003C/p>\n\u003Cp>Finally, as automated decision-making systems and AI continue to expand, \u003Cstrong>the gap between the defined policy and the system’s actual behavior becomes a key point of attention.\u003C/strong> A written compliance policy such as “a human validates the decision” \u003Cstrong>only has value if the production system actually applies it.\u003C/strong>\u003C/p>\n\u003Cblockquote>\n\u003Cp>The compliance gap is then between the procedure document and the actual behavior of the technical pipeline. A DPIA that describes a human review process, while the system automatically deactivates accounts without ever requesting such a review, does not reflect real practice.\u003C/p>\n\u003C/blockquote>\n\u003Ch2 id=\"in-short\">In short\u003C/h2>\n\u003Cp>This €825 million fine illustrates the practical application of Article 22 of the GDPR to an automated decision-making case. It shows that formal human intervention, without any real power to change the decision, is not enough to satisfy the Regulation’s requirements, and that organizations automating high-impact decisions must be able to provide operational proof of compliance.\u003C/p>\n","€825 million fine: Uber sanctioned for automated decision-making","Fine of €825 million against Uber for automated deactivations of driver accounts without human oversight, in breach of Article 22 of the GDPR.",903,5,"[GDPR] Record fine: Uber sanctioned for automated decisions without human oversight",0,null,"en","gdpr-record-fine-uber-sanctioned-for-automated-decisions-without-human-oversight","Published",{"id":18,"displayName":19,"avatarUrl":20,"bio":13,"blogUrl":13,"color":13,"userId":18,"creationDate":21},20352,"Leïla Sayssa","https://static.dastra.eu/tenant-3/avatar/20352/TDYeY3C8Rz1lLE/dpo-avatar-h01-150.png","2025-03-03T11:08:22","2026-08-28T12:42:00","2026-08-28T12:42:09.5893345","2026-08-28T12:50:57.695974",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":31},2,"Blog","A list of curated articles provided by the community","blog","#28449a",[32,35,38],{"lang":33,"name":27,"description":34},"fr","Une liste d'articles rédigés par la communauté",{"lang":36,"name":27,"description":37},"es","Una lista de artículos escritos por la comunidad",{"lang":39,"name":27,"description":40},"de","Eine Liste von Artikeln, die von der Community verfasst wurden",[42,47],{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":43},[44,45,46],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},{"id":48,"name":49,"description":50,"url":51,"color":52,"parentId":26,"count":13,"imageUrl":13,"parent":53,"order":58,"translations":59},219,"Privacy","Principles, techniques and trends in personal data protection — from privacy by design to data subject rights.","privacy","#000000",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":54},[55,56,57],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},1,[60,62],{"lang":33,"name":49,"description":61},"Principes, techniques et tendances autour de la protection des données personnelles — de la privacy by design aux droits des personnes.",{"lang":39,"name":63,"description":64},"Datenschutz","Grundsätze, Methoden und Trends zum Schutz personenbezogener Daten — von Privacy by Design bis zu Betroffenenrechten.",[],"https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-original.jpg",[68,69,70,71,72,73,74],"https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-1000.webp","https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8.webp","https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-1500.webp","https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-800.webp","https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-600.webp","https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-300.webp","https://static.dastra.eu/content/2a257d8d-9985-452c-9f6a-35838ef4deb0/visuel-article-8-100.webp",60526,{"total":77,"items":78,"parent":227},8,[79,100,120,142,163,184,202,218],{"id":80,"name":81,"description":82,"url":83,"color":84,"parentId":26,"count":13,"imageUrl":13,"parent":85,"order":77,"translations":90},20,"Inside Dastra","Go behind the scenes at Dastra: company news, culture, events, team highlights, and the people driving our GDPR solution.","dastra-life","#e3cf68",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":86},[87,88,89],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},[91,94,97],{"lang":33,"name":92,"description":93},"Vie de Dastra","Plongez dans les coulisses de Dastra : actualités internes, culture d’entreprise, événements, équipes et engagements. Découvrez qui se cache derrière notre solution RGPD.",{"lang":39,"name":95,"description":96},"Innerhalb von Dastra","Eintauchen in das Unternehmen",{"lang":36,"name":98,"description":99},"Dentro de Dastra","Sumérjase en la empresa",{"id":101,"name":102,"description":103,"url":104,"color":52,"parentId":26,"count":13,"imageUrl":13,"parent":105,"order":110,"translations":111},69,"Expertise","Gain insights from our experts on GDPR compliance, data protection, and privacy challenges. In-depth articles, professional analysis, and real-world best practices.","indepth",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":106},[107,108,109],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},7,[112,114,117],{"lang":33,"name":102,"description":113},"Bénéficiez des conseils de nos experts sur la conformité RGPD, la protection des données et les enjeux privacy. Articles de fond, analyses et retours d’expérience métier.",{"lang":39,"name":115,"description":116},"Fachwissen","Entdecken Sie die Artikel unserer DSGVO-Experten",{"lang":36,"name":118,"description":119},"Experiencia","Descubre los artículos de nuestros expertos en Privacy",{"id":121,"name":122,"description":123,"url":124,"color":125,"parentId":26,"count":13,"imageUrl":13,"parent":126,"order":131,"translations":132},4,"Use cases","Discover how companies use Dastra to manage their GDPR compliance. Testimonials, use cases, and real-world integrations of our privacy management solution.","case-studies","#b61b9c",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":127},[128,129,130],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},6,[133,136,139],{"lang":33,"name":134,"description":135},"Retours d'expérience","Découvrez comment les entreprises utilisent Dastra pour piloter leur conformité RGPD. Témoignages, cas d’usage et intégrations concrètes de notre solution de privacy management.",{"lang":39,"name":137,"description":138},"Case Studies","Entdecken Sie die Erfahrungsberichte unserer Kunden",{"lang":36,"name":140,"description":141},"Casos prácticos","Descubra los testimonios de nuestros clientes",{"id":143,"name":144,"description":145,"url":146,"color":147,"parentId":26,"count":13,"imageUrl":13,"parent":148,"order":10,"translations":153},10,"Release notes","Keep up with the latest features of Dastra: product updates, new functionalities, and improvements to our GDPR compliance and data management platform.","release","#8c316a",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":149},[150,151,152],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},[154,157,160],{"lang":33,"name":155,"description":156},"Notes de version","Restez informé(e) des dernières fonctionnalités de Dastra : mises à jour, évolutions produit et améliorations de notre solution de conformité RGPD et de gestion des données personnelles.",{"lang":39,"name":158,"description":159},"Veröffentlichungen","Alle Versionshinweise und Funktionen von Dastra",{"lang":36,"name":161,"description":162},"Lanzamientos","Todas las notas de la versión e información sobre las funciones de Dastra",{"id":164,"name":165,"description":166,"url":167,"color":168,"parentId":26,"count":13,"imageUrl":13,"parent":169,"order":121,"translations":174},9,"News","Stay up to date with the latest news from data protection authorities: decisions, fines, guidelines, and regulatory trends in GDPR and privacy.","news","#1676ca",{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":170},[171,172,173],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},[175,178,181],{"lang":33,"name":176,"description":177},"Actualités","Suivez les dernières actualités des autorités de protection des données (CNIL, EDPS, etc.) : décisions, sanctions, lignes directrices et tendances réglementaires en matière de RGPD et de privacy.",{"lang":36,"name":179,"description":180},"Actualidad","Todos los artículos relativos a las autoridades de protección de datos",{"lang":39,"name":182,"description":183},"Nachrichten","Alle Artikel mit Bezug zu Datenschutzbehörden",{"id":185,"name":186,"description":187,"url":188,"color":52,"parentId":26,"count":13,"imageUrl":13,"parent":189,"order":194,"translations":195},221,"AI Governance","Best practices, regulatory frameworks and 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Act Transparency Notice Template (Word Format) Compliant with Article 50","Download a Microsoft Word template for AI transparency notices compliant with Article 50 of the EU AI Act, including four ready-to-use notice variants for AI providers and deployers.","ai-act-transparency-notice-template-word-format-compliant-with-article-50","Since 2 August 2026, Article 50 of the European Artificial Intelligence Act (AI Act) has introduced transparency obligations for several categories of AI systems. AI providers and deployers must inform individuals when they interact with AI, are exposed to AI-generated content, are subject to emotion recognition or biometric categorisation, or encounter AI-generated deepfakes. To help organisations comply with these requirements, Dastra provides a free Microsoft Word template that can be adapted and integrated into your documentation, websites and user interfaces.",{"id":241,"displayName":242,"avatarUrl":243,"bio":13,"blogUrl":13,"color":13,"userId":241,"creationDate":244},38,"Paul-Emmanuel Bidault","https://static.dastra.eu/tenant-27/avatar/38/paul-emmanuel-bidault-150.jpg","2019-12-03T19:09:28","2026-08-06T12:40:00","2026-08-06T12:40:04.9054724","2026-08-06T12:59:59.293083",{"id":249,"name":250,"description":13,"url":251,"color":252,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":194,"translations":253},70,"Livre blanc","white-papers","#1795d3",[],[255,260,265,267,275,283],{"id":26,"name":27,"description":28,"url":29,"color":30,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":12,"translations":256},[257,258,259],{"lang":33,"name":27,"description":34},{"lang":36,"name":27,"description":37},{"lang":39,"name":27,"description":40},{"id":261,"name":262,"description":13,"url":263,"color":52,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":131,"translations":264},48,"Ressources","resources",[],{"id":249,"name":250,"description":13,"url":251,"color":252,"parentId":13,"count":13,"imageUrl":13,"parent":13,"order":194,"translations":266},[],{"id":268,"name":269,"description":270,"url":271,"color":272,"parentId":261,"count":13,"imageUrl":273,"parent":13,"order":12,"translations":274},83,"IA","Toutes les ressources sur l'IA","intelligence-artificielle","#342d9f","https://static.dastra.eu/tag/9bce43f2-c750-4e6c-9b31-18ea1409a5ba/dalle-2024-11-25-225448-a-modern-and-sleek-square-logo-for-artificial-intellige-original.webp",[],{"id":276,"name":277,"description":278,"url":279,"color":280,"parentId":261,"count":13,"imageUrl":281,"parent":13,"order":12,"translations":282},92,"Artificial intelligence","Key ressources for AI","ai-ressources","#0f1cd7","https://static.dastra.eu/tag/3cf3f039-04ed-4b3a-b386-a99b43cb4e64/ai-act-bis-original.png",[],{"id":185,"name":186,"description":187,"url":188,"color":52,"parentId":26,"count":13,"imageUrl":13,"parent":13,"order":194,"translations":284},[285,286],{"lang":33,"name":197,"description":198},{"lang":39,"name":200,"description":201},[288],{"typeMetaDataId":121,"value":289,"id":290},"https://static.dastra.eu/backofficefilescontainer/875e1e54-f479-43ff-9572-c4add516b85c/Dastra-AI-transparency-notice-template-art50-EN.docx",117744,"https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-original.png",[293,294,295,296,297,298,299],"https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-1000.webp","https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en.webp","https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-1500.webp","https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-800.webp","https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-600.webp","https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-300.webp","https://static.dastra.eu/content/34bf6ba9-1e42-45b0-b292-63b6a01a0c70/ai-transparency-notice-1600x900-en-100.webp",60275,14]