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Copy file name to clipboardExpand all lines: content/english/events/activities.md
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events:
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- title: 'Panel discussion "Between Promise and Problem: Data-Driven Models in Sustainability Policy", Data for Policy conference'
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description: >
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How do the opportunities of complex, data-driven models relate to their limitations and political sensitivities, and what realistic demands can we make regarding the standardization and transparency of their scientific and democratic legitimacy?
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Topics discussed:
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* What (theoretical) frameworks and instruments we see available for validating, verifying, and ensuring transparency when governments deploy models (and algorithms)?
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* What (theoretical) “menu” these paint for governments to choose from
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* What prospects we see for governments to communicate openly about their use of models in a consistent and auditable way?
- title: Lunch webinar 'Open source tools for AI validation', Algorithm Audit
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description: >
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In 2024-25, Algorithm Audit collaborated with the Dutch Ministry of the Interior and the Dutch Executive Agency for Education (DUO) to develop and test tools designed to validate algorithmic systems. Two open-source tools were launched on June 10th 12-13h (in Dutch) and June 13th 12-13h (in English). Topics discussed:
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1. [Unsupervised bias detection tool](/technical-tools/bdt/#web-app): How to detect bias if no demographic data is available?
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2. [Synthetic data generation](/technical-tools/sdg/#web-app): How can third parties evaluate dataset representativeness without personal data being shared?
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The tools developed provide answers for these questions. The tools are built following a local-only architecture, meaning that data are processed by your own device without being uploaded to external (commercial) platforms or cloud providers.
[Interview](https://www.trouw.nl/verdieping/amsterdam-wilde-met-ai-de-bijstand-eerlijker-en-efficienter-maken-het-liep-anders~b2890374/) with Ylja Remmits and Jurriaan Parie with Dutch newspaper Trouw. Research is also covered by [MIT Review](https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/).
- title: Guest lecture 'Fairness and Algorithms' ETH Zürich
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Guest lecture for the course 'Fairness and Algorithms' at ETH Zürich invited by Aileen Nielsen
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- title: Presentation Responsible AI - Innovation Festival Dutch Ministry of Infrastructure and Water
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Presentation on responsible use of algorithms and AI during the Innovation Festival of the Dutch Ministry of Infrastructure and Water.
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image: /images/events/MinIenW_logo.png
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image: /images/partner logo-cropped/MinIenW.png
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date: 13-02-2025
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- title: Event 'Can Europe regulate AI?'
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- title: Event 'Can Europe regulate AI?' hosted by Algorithm Audit
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description: >
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Book interview with Marietje Schaake – author of The Tech Coup – and Haroon Sheikh – author of Atlas of the Digital World – in debate centre Pakhuis de Zwijger
Copy file name to clipboardExpand all lines: content/nederlands/events/activities.md
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- title: 'Panel discussie "Between Promise and Problem: Data-Driven Models in Sustainability Policy", Data for Policy conferentie'
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description: >
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Hoe verhouden de kansen van complexe, data-gedreven modellen zich tot hun beperkingen en politieke gevoeligheden, en welke realistische eisen kunnen we stellen aan de standaardisatie en transparantie van hun wetenschappelijke en democratische legitimiteit?
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Besproken onderwerpen:
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* Welke (theoretische) kaders en instrumenten zijn beschikbaar voor het valideren, verifiëren en waarborgen van transparantie bij de inzet van modellen (en algoritmes) door overheden?
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* Welk (theoretisch) “menu” bieden deze kaders waaruit overheden kunnen kiezen?
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* Welke mogelijkheden zien we voor overheden om op een consistente en controleerbare manier open te communiceren over hun gebruik van modellen?
- title: Lunch webinar 'Open source tools voor AI validatie', Ministerie van Binnenlandse Zaken
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description: >
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In 2024-25 werkte Algorithm Audit samen met het Ministerie van Binnenlandse Zaken en de Dienst Uivoering Onderwijs (DUO) aan de ontwikkeling en het testen van tools voor de validatie van algoritmische systemen. Twee open-source tools werden gelanceerd op 10-06-2025 (Nederlands) en 13-06-2025 (Engels) tijdens online lunch webinars. Besproken onderwerpen:
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1. [Unsupervised bias detection tool](/technical-tools/bdt/#web-app): Hoe detecteer je bias als er geen demografische data beschikbaar is?
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2. [Synthetic data generation](/technical-tools/sdg/#web-app): Hoe kunnen derden de representativiteit van datasets beoordelen zonder dat persoonsgegevens gedeeld worden?
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De ontwikkelde tools bieden antwoorden op bovenstaande vragen. De tools zijn ontwikkeld volgens een local-only architectuur, wat betekent dat data uitsluitend op je eigen apparaat worden verwerkt en niet worden geüpload naar externe (commerciële) platforms of cloudproviders.
[Interview](https://www.trouw.nl/verdieping/amsterdam-wilde-met-ai-de-bijstand-eerlijker-en-efficienter-maken-het-liep-anders~b2890374/) met Ylja Remmits en Jurriaan Parie met Trouw. Onderzoek is ook beschreven in item [MIT Review](https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/).
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image: /images/partner logo-cropped/Trouw.png
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date: 06-06-2025
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label: '2025'
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label: interview
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- title: Gastcollege 'Fairness and Algorithms' ETH Zürich
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Gastcollege bij het vak 'Fairness and Algorithms' aan de ETH Zürich op uitnodiging van Aileen Nielsen.
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- title: Presentatie verantwoorde inzet AI - Innovatiefestival Ministrie van Infrastructuur en Waterstaat
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Presentatie over de verantwoorde inzet van algoritmes en AI tijdens het innovatiefestival van het Ministrie van Infrastructuur en Waterstaat.
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Boekinterview met Marietje Schaake – auteur van The Tech Coup – en Haroon Sheikh – auteur van Atlas of the Digital World – in debatcentrum Pakhuis de Zwijger
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