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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Algorithm Audit (op-ed) – A new algorithmic regulatory body in The Netherlands
Author(s): Algorithm Audit
A new algorithmic regulatory body is institutionalized in The Netherlands. We say: Make it a bulldog 🐺, not a lap dog 🐶
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Algorithm Audit (op-ed) – Human vs machine bias
Author(s): Jurriaan Parie, Vardâyani Djwalapersad
Based on bias testing results from the Municipality of Amsterdam, it is argued that that algorithms can play an important role in mitigating biases originating from humans
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Algorithm Audit (op-ed) – Reversing the burden of proof
Author(s): Algorithm Audit
Algorithm Audit’s first white paper on the reversal on the burden of proof in the context of (semi-)automated decision-making
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Algorithm Audit (white paper) – Feedback on DSA Delegated Regulation (conducting independent audits)
Author(s): Algorithm Audit
Plea to include the normative dimension of AI auditing in delegated regulation of the Digital Services Act (DSA). Current limitations are illustrated by focussing on a recommender systems example
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Algorithmic Discrimination in Europe
Author(s): Janneke Gerards and Raphaële Xenidis
This EU report investigates how algorithmic discrimination challenges the set of legal guarantees put in place in Europe to combat discrimination and ensure equal treatment.
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Algorithms and Fundamental Rights
Author(s): Janneke Gerards, Remco Nehmelman, Max Vetzo
Overview how automated decision-making has a profound impact on fundamental rights in the context of the Dutch legal system
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