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intro: >-
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More than 1.245 algorithms have already been published by 289 organisations in the Dutch Algorithm Register. But how informative is the information that’s currently provided?
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More than 1.245 algorithms have already been published by 289 organisations in the Dutch Algorithm Register. But how informative are the registrations?
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featured: true
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layout: article
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type: knowledgebase_item
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subtitle: ''
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image: /images/knowledge_base/Analysis Dutch Algorithm Register.png
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search:
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searchableText: analysis, register
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searchableText: analysis, register, algorithm register
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#### Analysis Dutch Algorithm Register
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Algorithm Register: from pinnacle of transparency to puzzle of paperwork
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#### Algorithm Register: from pinnacle of transparency to puzzle of paperwork
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More than 1.245 algorithms have already been published by 289 organisations in the Dutch Algorithm Register. But how informative is the information that’s currently provided?
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We analysed the current state of the Algorithm Register. The key takeaways are explained in the carousel below ⬇️
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We identify three solutions to strengthen trust in Dutch government algorithms by improving the type and quality of registered information:
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1. Develop vertical standards
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1. **Develop vertical standards:** Develop technology-specific requirements – such as accuracy specifications for facial recognition software – that can be requested during procurement and can be published in the Algorithm Register.
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2. **Make some categories mandatory for publication:** Require high-risk AI systems and highimpact algorithms to publish, at least, their legal basis and an identification of
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risks.
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2. Make some categories mandatory for publication
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3. **Develop national guidelines for complete and consistent classification:** National guidelines are needed to ensure accurate and consistent identification and risk classification across organisations.
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3. Develop national guidelines for complete and consistent classification
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👩🏼‍💻 The code for the analysis can be found open source in <a href="https://github.com/NGO-Algorithm-Audit/Algorithm-Register-Analysis" target="_blank">GitHub</a>.
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👩🏼‍💻 The code for the analysis can be found open source in [Github](https://github.com/NGO-Algorithm-Audit/Algorithm-Register-Analysis).
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09-12-2025
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{{< embed_pdf url="/pdf-files/knowledge-base/20251205 Algorithm Register carrousel.pdf" width_mobile_pdf="12" width_desktop_pdf="6" >}}
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---
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intro: >-
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More than 1.245 algorithms have already been published by 289 organisations in the Dutch Algorithm Register. But how informative are the registrations?
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featured: true
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layout: article
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type: knowledgebase_item
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facets:
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- value: type_analysis
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label: Analysis
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- value: subject_AIAct
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label: AI Act
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author: Algorithm Audit
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summary: >-
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Algorithm Register: from pinnacle of transparency to puzzle of paperwork
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weight: -16
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title: 'Analysis Dutch Algorithmm Register'
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subtitle: ''
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image: /images/knowledge_base/Analysis Dutch Algorithm Register.png
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search:
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searchableText: analysis, register, algorithm register
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---
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#### Algoritmeregister: van toonbeeld van transparantie tot puzzel van papierwerk
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Meer dan 1.245 algoritmen zijn inmiddels gepubliceerd door 289 organisaties in het Nederlandse Algoritmeregister. Maar hoe informatief is de informatie die wordt gedeeld?
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We hebben het huidige Algoritmeregister geanalyseerd. De belangrijkste conclusies zijn samengevat in onderstaande carrousel ⬇️
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We stellen drie oplossingen voor om de kwaliteit van de geregistreerde informatie te verbeteren en daarmee het vertrouwen in algoritmes van de Nederlandse overheid te herstellen:
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1. **Ontwikkel verticale standaarden:** Ontwikkel technologie-specifieke eisen, bijvoorbeeld nauwkeurigheidsspecificaties voor gezichtsherkenningssoftware, die bij aanbestedingen opgevraagd kunnen worden en in het Algoritmeregister gepubliceerd kunnen worden.
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2. **Maak sommige categorieën verplicht te publiceren:** Verplicht hoogrisico-AI-systemen en impactvolle algoritmen om ten minste de wettelijke basis en weging van geïdentificeerde risico’s te publiceren.
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3. **Ontwikkel nationale richtlijnen voor volledige en consistente classificatie:** Nationale richtlijnen zijn nodig om een nauwkeurige en consistente identificatie en risicoclassificatie tussen organisaties te waarborgen.
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👩🏼‍💻 De code voor de analyse is open source te vinden op <a href="https://github.com/NGO-Algorithm-Audit/Algorithm-Register-Analysis" target="_blank">GitHub</a>.
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09-12-2025
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{{< embed_pdf url="/pdf-files/knowledge-base/20251205 Algorithm Register carrousel.pdf" width_mobile_pdf="12" width_desktop_pdf="6" >}}
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