Knowledge base
Our knowledge base is a collection of readworthy articles, books and other publications from various disciplines about responsible AI. Each piece of writing has been summarized and/or reviewed.
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Articles
Empirical methods for supervising algorithmic profiling systems
Author(s): Algorithm Audit and Netherlands Bureau for Economic Policy Analysis
How empirical methods can help regulating AI
Read moreEmpirical methods for supervising algorithmic profiling systems
Author(s): Algorithm Audit and Netherlands Bureau for Economic Policy Analysis
How empirical methods can help regulating AI
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Inventory 14 Dutch Ministries Netherlands Algorithm Registry
Author(s): Algorithm Audit
Many high-impact algorithms are not regulated by the AI Act
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Public standard 'Meaningful human intervention for risk profiling algorithms'
Author(s): Algorithm Audit
Step-by-step guide to prevent automated decision-making based solely on profiling
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Indirect discrimination in Meta’s ML-driven advertising system
Author(s): The Netherlands Institute for Human Rights
Meta’s ML-driven advertising system indirectly discriminates against women
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Implementation of the AI Act
Author(s): Algorithm Audit
Guidelines how to implement the AI Act
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Public standard profiling algorithms
Author(s): Algorithm Audit
Public standard profiling algorithms
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Algoprudence: Jurisprudence for algorithms
Author(s): Algorithm Audit
Introducing Algoprudence: Case-based and decentralized judgements for ethical AI
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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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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) – 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) – 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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A is voor algoritme
Author(s): O.A. al Khatib, M.H.A.F. Lokin, R.J.H. Bruggeman & A.C.M. Meuwese
Scientific legal paper delayering the relation between Dutch Public Administration Law and algorithmic systems
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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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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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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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Size of random sample
Author(s): Algorithm Audit
Determine the size of a random sample to conduct statistical hypothesis testing
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