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content/english/about/FAQ.md

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Do you have a question or do you want to share feedback? [Contact
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us](/about/contact/).
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image: /images/svg-illustrations/faq.svg
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quick_navigation:
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title: Content overview
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links:
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- title: What does Algorithm Audit audit?
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url: '#reviews'
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- title: What organizations may present a case?
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url: '#eligible'
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- title: Why do you work not-for-profit?
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url: '#not-for-profit'
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- title: Is your work open source?
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url: '#open-source'
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- title: What is the legitimacy of your organization?
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url: '#legitimacy'
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- title: How are you funded?
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url: '#funding'
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- title: How can I share ethical issues or knowledge?
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url: '#share'
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- title: How do you prevent ethics washing?
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url: '#ethics-washing'
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---
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{{< container_open icon="fas fa-bullseye" title="What exactly do you audit?" id="reviews" >}}
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{{< container_open icon="fas fa-bullseye" title="What does Algorithm Audit audit?" id="reviews" >}}
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Auditing is a multi-faceted concept. In the financial industry, an audit refers to an independent examination of book keeping. According to a pre-defined criteria a financial audit attempts to ensure that books of accounts are properly maintained. For AI systems, auditing is a relatively new concept and auditing criteria have not taken full shape. Due to it's context dependency, gaining case-based experience in dealing with concrete normative dilemmas in semi-automated decision-making processes is key. Since these dilemmas involve ethical considerations and trade-offs, they cannot be solved by technical audit standards only, but must involve collective deliberation by all stakeholders. Algorithm Audit's audits are therefore inclusive and deliberative in nature, which resonates with the meaning of the Latin word *audire*, from which "audit" is derived, meaning "to hear".
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{{< container_close >}}
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{{< container_open title="How do you prevent ethics washing?" id="ethics-washing" icon="fas fa-hands-wash" >}}
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{{< container_open title="How do you prevent ethics washing?" icon="fas fa-hands-wash" id="ethics-washing" >}}
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Ethics washing refers to the practice where a company or organization pays lip service to ethics or ethical review, to make it seem outwardly as though it operates in a responsible way. However, the company or organization actually does not wish to implement responsible practices in a meaningful way. We do not participate in ethical reviews as branding. As an organization, we do not confer ethics certificates or labels to our partners. We clearly communicate that our advice commissions only give normative advice and may not be used as stand-in for internal control or external accountability. This is established in explicit conditions under which we work and that we discuss with our partners beforehand. A concrete measure we will regularly adopt is making the partner anonymous in our publication of the case and reports.
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content/english/about/boards.md

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team2:
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title: Board
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content: Board of NGO Algorithm Audit
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icon: fas fa-users
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id: board
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icon: fas fa-users
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team_members:
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- image: /images/people/AVoogt.jpeg
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name: Ariën Voogt
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name: Jurriaan Parie
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bio: |
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Director-board member
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quick_navigation:
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title: Overzicht
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links:
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- title: Board
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url: '#board'
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- title: Advisory board
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url: '#advisory-board'
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- title: Supervisory board
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url: '#supervisory-board'
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---
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{{< team2 >}}
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{{< container_open title="Board of Advice" id="advice-board" icon="fas fa-user-plus" >}}
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{{< container_open title="Advisory board" id="advisory-board" icon="fas fa-user-plus" >}}
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* [Aileen Nielsen](https://hls.harvard.edu/faculty/aileen-nielsen/), Visiting Assistant Professor, Harvard Law School, author of the book [Practical Fairness](https://www.oreilly.com/library/view/practical-fairness/9781492075721/) &#x9;
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* [Anne Meuwese](https://www.universiteitleiden.nl/medewerkers/anne-meuwese#tab-1), Professor Public Law & Governance of AI, Leiden University

content/english/about/teams.md

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content: >
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Support for specific questions from public and private sector
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organisations regarding responsible use of AI
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team:
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title: Synthetic data generation team
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content: Part-time team working on synthetic data generation
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icon: fas fa-search
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button_text: Use tool
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button_link: /technical-tools/sdg/
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team_members:
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- image: /images/people/EMenvouta.jpeg
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name: Emmanuel Menvouta PhD
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bio: |
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Freelance machine learning engineer, specialized in SDG methodology
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- image: /images/people/JParie.jpg
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name: Jurriaan Parie
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bio: |
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Director and board member at Algorithm Audit
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- image: /images/people/MLisdonk.png
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name: Maikel van de Lisdonk
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bio: |
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Freelance software developer
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- image: /images/people/RLangius.jpg
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name: Ruben Langius
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bio: |
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Freelance software developer
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team1:
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title: Bias detection tool team
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content: Part-time team working on unsupervised the bias detection tool
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icon: fas fa-search
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button_text: Bias detection tool
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id: bdt
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button_text: Use the tool
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button_link: /technical-tools/bdt/
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team_members:
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- image: /images/people/KPadh.jpeg
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name: Ylja Remmits
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Head of Projects
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team3:
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title: AI Act standards team
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content: Part-time team working on AI Act standards
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icon: fas fa-search
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button_text: More about standards
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button_link: /knowledge-platform/standards/
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team_members:
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- image: /images/people/EPetersen.jpeg
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name: Kirtan Padh
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bio: |
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Senior Scientist Medical AI, Fraunhofer MEVIS, Hannover
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- image: /images/people/ALeoneDeCastris.jpg
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name: Mackenzie Jorgensen
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bio: |
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AI Policy Researcher at The Alan Turing Institute, London
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quick_navigation:
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title: Overview
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links:
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- title: Activities
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url: '#about'
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- title: Executive team
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url: '#executive-team'
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- title: Team unsupervised bias detectie
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url: '#team-BDT'
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- title: Team synthetic data generation
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url: '#team-SDG'
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- title: Team AI Act standards
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url: '#team-standards'
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---
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{{< about_AA id="about" >}}
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{{< team id="team-SDG" >}}
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{{< team3 id="team-standards" >}}

content/english/about/vacancies.md

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type: checkbox
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quick_navigation:
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title: Overview
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links:
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- title: Project employee
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url: '#projectmedewerker'
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- title: Internship
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url: '#stagiair'
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---
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### Overview of job openings
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{{< accordions_area_open id="projectmedewerker" >}}
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{{< accordion_item_open title="Project employee (Dutch only)" image="/images/logo/logo.svg" background_color="#ffffff" id="projectmedewerker" tag1="1.0 fte" tag2="Schaal 7-8" tag3="≥01-05-2025" >}}
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{{< button button_text="Solliciteer" button_link="#form" >}}

content/nederlands/about/FAQ.md

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Heb je een vraag of wil je feedback delen? [Stuur een
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bericht.](/nl/about/contact/)
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image: /images/svg-illustrations/faq.svg
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quick_navigation:
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title: Overzicht
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links:
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- title: Wat auditeert Algorithm Audit?
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url: '#reviews'
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- title: Welke organisaties kunnen een casus indienen?
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url: '#eligible'
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- title: Waarom werken jullie zonder winstoogmerk?
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url: '#not-for-profit'
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- title: Is jullie werk open source?
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url: '#open-source'
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- title: Wat is de legitimiteit van de organisatie?
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url: '#legitimacy'
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- title: Hoe worden jullie gefinancierd?
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url: '#funding'
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- title: Hoe kan ik ethische kwesties of kennis daarover delen?
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url: '#share'
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- title: Hoe voorkomen jullie ethics washing?
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url: '#ethics-washing'
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---
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{{< container_open icon="fas fa-bullseye" title="Wat auditeert Algorithm Audit precies?" id="reviews" >}}
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{{< container_open icon="fas fa-bullseye" title="Wat auditeert Algorithm Audit?" id="reviews" >}}
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Auditeren is een veelzijdig begrip. In de financiële sector verwijst een audit bijvoorbeeld naar een onafhankelijk keuring van boekhouding. Volgens vooraf gedefinieerde criteria toetst een financiële audit of administratie correct wordt bijgehouden. Audits voor AI-systemen zijn relatief nieuw en auditcriteria zijn nog volop in ontwikkeling. Algorithm Audit gelooft dat alleen technische auditcriteria onvoldoende zijn om te toetsen of algoritmes deugen. Wat eerlijke en verantwoorde algoritmes zijn hangt altijd af van de context. Het opdoen van case-based ervaring met normatieve keuzes die komen kijken bij het ontwikkelen en inzetten van algoritmes is hierbij van cruciaal belang. Deze normatieve dimensie kan alleen getoetst worden in overleg met belanghebbenden. De audits van Algorithm Audit zijn daarom inclusief en deliberatief van aard. Dit houdt verband met de etymologie van het Latijnse woord *audire* (horen) waarvan het woord ‘audit’ is afgeleid.
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{{< container_open title="Is het werk open source?" icon="fas fa-box-open" id="open-source" >}}
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{{< container_open title="Is jullie werk open source?" icon="fas fa-box-open" id="open-source" >}}
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Al onze probleemstellingen en bijbehorend adviezen worden openbaar gemaakt, wat ten goede komt aan de publieke kennisopbouw over verantwoorde algoritmes. In die zin kan ons werk als open-source worden beschouwd. We publiceren alleen de definitieve probleemstelling en normatieve adviesdocument in onze [algoprudentie database](https://algorithmaudit.eu/nl/algoprudence/). Notulen en tussentijdse documentatie van de casus worden niet gedeeld. Daarnaast is alle code die voor deze website is ontwikkeld en voor de technische tools die wij maken, onderhouden en testen, te vinden op [Github](https://github.com/NGO-Algorithm-Audit).
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content/nederlands/about/boards.md

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team2:
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title: 'Bestuur '
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content: Bestuur van Stichting Algorithm Audit
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icon: fas fa-users
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Directeur-bestuurder
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quick_navigation:
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title: Overzicht
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links:
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- title: Bestuur
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url: '#board'
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- title: Raad van advies
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url: '#advisory-board'
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- title: Raad van toezicht
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url: '#supervisory-board'
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{{< team2 >}}
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{{< team2 id="board">}}
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{{< container_open title="Raad van Advies" id="rva" icon="fas fa-user-plus" >}}
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{{< container_open title="Raad van advies" id="advisory-board" icon="fas fa-user-plus" >}}
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* [Aileen Nielsen](https://hls.harvard.edu/faculty/aileen-nielsen/), Visiting Assistant Professor, Harvard Law School, auteur van het boek [Practical Fairness](https://www.oreilly.com/library/view/practical-fairness/9781492075721/) &#x9;
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* [Anne Meuwese](https://www.universiteitleiden.nl/medewerkers/anne-meuwese#tab-1), Hoogleraar Staats- en Bestuursrecht, Universiteit Leiden
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{{< container_open icon="fas fa-eye" title="Raad van toezicht" id="supervisory-board" >}}
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In oprichting
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content/nederlands/about/teams.md

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Ondersteuning bij specifieke vragen vanuit de publieke en private sector
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over de verantwoorde inzet van algoritmes.
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team:
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title: Synthetic data generatie team
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content: Team dat part-time werkt aan synthetische data generatie tool
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icon: fas fa-search
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button_text: Gebruik de tool
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button_link: /technical-tools/bdt/
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team_members:
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- image: /images/people/EMenvouta.jpeg
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name: Emmanuel Menvouta PhD
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bio: |
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Freelance machine learning engineer, gespecialiseerd in SDG methodologie
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- image: /images/people/JParie.jpg
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name: Jurriaan Parie
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bio: |
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Directeur-bestuurder Algorithm Audit
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- image: /images/people/MLisdonk.png
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name: Maikel van de Lisdonk
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bio: |
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Freelance software developer
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- image: /images/people/RLangius.jpg
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name: Ruben Langius
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Freelance software developer
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content: Team dat part-time werkt aan de unsupervised bias detectie tool
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id: executive-team
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Head of Projects
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team3:
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title: AI-verordening standaarden team
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content: Team dat part-time werk aan AI-verordening standaarden
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icon: fas fa-search
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button_text: Meer over standaarden
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button_link: /nl/knowledge-platform/standards/
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team_members:
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- image: /images/people/EPetersen.jpeg
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name: Eike Petersen
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bio: |
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Senior wetenschapper medische AI, Fraunhofer MEVIS, Hannover
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- image: /images/people/ALeoneDeCastris.jpg
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name: Arcangelo Leone de Castris
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bio: |
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Onderzoeker naar AI beleid The Alan Turing Institute, Londen
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quick_navigation:
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title: Overzicht
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links:
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- title: Activiteiten
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url: '#about'
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- title: Uitvoerend team
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url: '#executive-team'
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- title: Team unsupervised bias detectie
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url: '#team-BDT'
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- title: Team synthetische data generatie
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url: '#team-SDG'
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- title: Team AI-verordening standarden
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url: '#team-standards'
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content/nederlands/about/vacancies.md

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title: Overzicht
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links:
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- title: Projectmedewerker
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url: '#projectmedewerker'
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- title: Stagiair
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url: '#stagiair'
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{{< accordions_area_open id="projectmedewerker" >}}
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{{< accordion_item_open title="Projectmedewerker" image="/images/logo/logo.svg" background_color="#ffffff" id="projectmedewerker" tag1="1.0 fte" tag2="Schaal 7-8" tag3="≥01-05-2025" >}}
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content/nederlands/technical-tools/BDT.md

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Onderzoeker Alan Turing Institute, Londen
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quick_navigation:
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title: Content overview
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title: Inhoudsopgave
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links:
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- title: Inhoudsopgave
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- title: Introductie
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url: '#info'
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- title: Tool
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url: '#web-app'

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