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Merge pull request #288 from NGO-Algorithm-Audit/feature/structural_edits
Minor edits sublanding pages
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content/english/_index.md

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@@ -25,7 +25,7 @@ About:
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overview_block:
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activities:
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- title: Knowledge platform
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subtitle: Expertise in statistics, software development, legal framework and ethics
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subtitle: Expertise in statistics, software development, law and ethics
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url: /knowledge-platform/
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We evaluate algorithmic systems both from a qualitative and quantitative dimension. Besides expertise about data analysis and AI engineering, we possess have in-depth knowledge of legal frameworks concerning non-discrimination, automated decision-making and organizational risk management. See our <a
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href="/knowledge-platform/knowledge-base/"
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style="text-decoration: underline;">public standards</a> how to deploy algorithmic systems responsibly.
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button_text: Discuss collaboration
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button_text: Explore collaboration
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button_link: /knowledge-platform/project-work/#form
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content/english/algoprudence/_index.md

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title: Algoprudence
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titleline2: Case-based normative advice
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titleline2: Case-based normative advice about responsible AI
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subtitle: >
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Case-based advice on tough problems. Algorithm Audit convenes independent advice commissions to decide on concrete normative questions relating to responsible AI. We transparently publish advices as _algoprudence_ – jurisprudence for algorithms. Explore our case repository to learn from real-world cases.
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- title: Case repository
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content/english/knowledge-platform/_index.md

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title: Knowledge platform
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titleline2: Building and sharing public knowledge
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titleline2: Expertise in statistics, software development, law and ethics
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We connect domain expertise in statistics, AI engineering, law and ethics to build public knowledge on responsible AI. We help share knowledge between policy makers, industry, and research. For our key insights check out our white papers and public standards.
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content/english/technical-tools/_index.md

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title: Technical tools
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titleline2: Open source AI auditing tools
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titleline2: Open source tools for validating algorithmic systems
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We develop tools that make it easier for everyone to audit AI. Our tools are free, open source and local-first. Data does not leave your browser, do not rely on cloud solutions and our tools can be used in a fully privacy-preserving way locally by organizations.
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- title: Unsupervised bias detection tool
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content/nederlands/algoprudence/_index.md

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title: Algoprudentie
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titleline2: Case-based normatief advies
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titleline2: Case-based normatief advies over de verantwoorde inzet van AI
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Case-based advies over complexe vraagstukken. Algorithm Audit brengt onafhankelijke adviescommissies samen om over concrete normatieve vragen met betrekking tot verantwoorde AI besluiten te nemen. We publiceren de adviezen als _algoprudentie_: jurisprudentie voor algoritmes. Werp een blik op onze casuïstiek om te leren van de praktijk.
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content/nederlands/knowledge-platform/_index.md

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title: Kennisplatform
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titleline2: Statistische en juridische expertise
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titleline2: Expertise in statisitek, software development, recht en ethiek
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We verbinden domeinexpertise in statistiek, AI engineering, recht en ethiek om publieke kennis over verantwoorde AI op te bouwen. We jagen de verspreiding van kennis tussen beleidsmakers, bedrijfsleven en onderzoek aan. Voor belangrijke thema's ontwikkelen we domeinkennis middels white papers en publieke standaarden.
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content/nederlands/technical-tools/_index.md

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title: Technische tools
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titleline2: Open-source AI auditing tools
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titleline2: Open-source tools voor validatie van algorithmische systemen
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We ontwikkelen tools die het voor een breed publiek gemakkelijker te maken om AI te auditeren. Onze tools zijn gratis te gebruiken, open source en local-first. Dit betekent dat data de browser niet verlaat, geen gebruik wordt gemaakt van cloud-toepassingen en dat de tools eenvoudig door organisaties op een privacy-vriendelijke manier lokaal gebruikt kunnen worden.
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