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Merge pull request #170 from NGO-Algorithm-Audit/feature/structural_edits
Changed pdf preview public standard
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content/english/algoprudence/cases/aa202301_bert-based-disinformation-classifier.md

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been selected as a finalist for [Stanford's AI Audit Challenge
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2023](https://hai.stanford.edu/ai-audit-challenge-2023-finalists).
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{{< pdf_frame >}}
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image: /images/supported_by/HAI.png
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date: 14-02-2024
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content/english/events/activities.md

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content/english/knowledge-platform/knowledge-base/Public_standard_profiling.md

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In the Netherlands, ‘simple’ rule-based profiling systems have often been deployed irresponsibly for over the last 15 years. This public standard aims to contribute to concise risk management measures that can be implemented today to deploy profiling more responsibly.
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content/nederlands/events/activities.md

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content/nederlands/knowledge-platform/knowledge-base/A_is_for_algorithm.md

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Jurist Ola al Khatib en collega's analyseren regel- en data-gedreven (selectie)algoritmes in de context van de Algemene wet bestuursrecht (Awb). Voortbouwend op de huidige discussie rond aanpassingen van de Awb met oog op het effectief reguleren van algoritmische systemen die door Nederlandse overheidsorganisaties worden ingezet, gaat het artikel in op mogelijke oplossingsrichtingen hoe de gelaagde reguleringsaanpak, in combinatie met de AI-verordening en _soft law_ kaders, verbeterd kan worden.
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content/nederlands/knowledge-platform/knowledge-base/Public_standard_profiling.md

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In Nederland hebben ‘simpele’ regelgebaseerde profileringsalgoritmes de afgelopen 15 jaar tot veel ophef geleid. Deze publieke standaard beoogt een bijdrage te leveren aan risicobeheersmaatregelen om de methoden op een meer verantwoorde manier in te zetten.
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{{< embed_pdf url="/pdf-files/knowledge-base/20241022_Publieke standaard profileringsalgoritmes.pdf" width_desktop_pdf="6" width_mobile_pdf="12" >}}
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