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About:
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Who decides on the algorithms that shape our daily lives? At Algorithm Audit, we believe this belongs to all of us. Our team of data scientists, lawyers, and ethicists tackles value-based questions at the heart of AI and data modelling. Our focus is transparent deliberation about technical choices and their real-world consequences. As a nonprofit knowledge platform, we bridge the gap between industry, academia and public policy, connecting bottom-up experience with state-of-the-art technical insights. Through open-source tools, independent validation and advice to public and private sector organisations, we translate knowledge into action. Connect with us to make responsible AI a shared effort.
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Who decides on the algorithms that shape our daily lives? We believe this belongs to all of us. Our team of data scientists, lawyers, and ethicists tackles value-based questions at the heart of AI. As a knowledge platform, we bridge the gap between policy initiatives, academic insights and case-based experience. Through open-source tools, independent validation and advice, we translate knowledge into action. Connect with us to make responsible AI a shared effort.
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title: Algoprudence
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titleline2: Case-based normative advice
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Case-based deliberation about ethical algorithms. Algorithm Audit brings together diverse advice commissions that deliberatively and transparently decide on normative questions relating to responsible AI. Resulting in algoprudence: jurisprudence for algorithms.
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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: Knowledge platform
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titleline2: Statistical and legal expertise
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titleline2: Building and sharing public knowledge
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We connect domain expertise – among others statistics, law and ethics – to
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build public knowledge on responsible AI. We document our work in a knowledge
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base. For key themes we build thematic resources through white papers and
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public standards.
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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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title: Technical tools
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titleline2: Open-source AI auditing tools
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titleline2: Opensource AI auditing tools
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We develop open-source and local-first tools for AI auditing. This means our tools are privacy-preserving, as data don't leave the browser and don't rely on cloud infrastructure. Our tools make it easier for all to audit AI.
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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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