Knowledge base
Our knowledge base is a collection of readworthy articles, books and other publications from various disciplines about algorithmic fairness. Each piece of writing has been summarized and/or reviewed.
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How 'algoprudence' can contribute to responsible use of ML-algorithms
Author(s): Anne Meuwese, Jurriaan Parie & Ariën Voogt
By means of two case positions regarding the use of machine learning-driven risk profiling by the municipalities of Rotterdam and Amsterdam, the concept of 'algoprudence' is introduced and explained.
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Automated Decision-Making Under the GDPR – A comphrehensive case-law analysis
Author(s): Sebastião Barros Vale, Gabriela Zanfir-Fortuna
The Future of Privacy Forum (FPF) launched a comprehensive report analyzing case-law under the General Data Protection Regulation (GDPR) applied to real-life cases involving Automated Decision Making (ADM).
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Bias report Short Stay Visum – SigmaRed for the Dutch Ministry of Ministry of Foreign Affairs
Author(s): SigmaRed
Bias assessment of Dutch Ministry of Ministry of Foreign Affairs’ short stay visa classification model by SigmaRed Technologies
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Digitalization and the (Dis)balanced Trias Politica
Author(s): Reijer Passchier
Scientific legal paper arguing why new checks and balances are needed to guarantee a separation of state powers in the digital era.
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Discrimination through Risk Profiling
Author(s): Dutch College for Human Rights
Framework for discrimination through risk-profiling
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Examining confirmation bias using the F-test
Author(s): Onbekend
Applied to test confirmation bias of civil servant in an algorithmic-driven visa application process
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Practical Fairness
Author(s): Aileen Nielsen
A wide-ranging book that informs data and AI ethics practitioners about recent advances in open-source toolkits and legal frameworks.
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