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Laurens Naudts

Observed names: L. Naudts, NAUDTS, Laurens, Naudts, L., Naudts, Laurens, Naudts, Laurens; 97793;
ORCID: 0000-0002-5777-1450
Observed ORCID: 0000-0002-5777-1450
OpenAlex ID: A5042678535
Documenting Computer Vision Datasets
2021 · Milagros Miceli, Tianling Yang, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 105
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Accountability for the use of algorithms in a big data environment
2017 · Anton Vedder, Laurens Naudts · International Review of Law Computers & Technology · 93
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
2024 · Abdallah El Ali, Karthikeya Puttur Venkatraj, et al. · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · 72
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The Cambridge Handbook of the Law, Ethics and Policy of Artificial Intelligence
2025 · Nathalie A. Smuha, Wannes Meert, et al. · Cambridge University Press eBooks · 54
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“I Resist”. A Study of Individual Attitudes Towards Generative AI in Journalism and Acts of Resistance, Risk Perceptions, Trust and Credibility
2025 · Sophie Morosoli, Valeria Resendez, et al. · Digital Journalism · 46
AI-generated journalism: Do the transparency provisions in the AI Act give news readers what they hope for?
2024 · Stanislaw Piasecki, Sophie Morosoli, et al. · Internet Policy Review · 37
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Tell Me What You Know
2019 · Luciana Monteiro Krebs, Oscar Luis Alvarado Rodriguez, et al. · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · 20
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The Digital Faces of Oppression and Domination: A Relational and Egalitarian Perspective on the Data-driven Society and its Regulation
2024 · Laurens Naudts · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 19
Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens
2025 · Sophie Morosoli, Laurens Naudts, et al. · AI & Society · 18
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A Right to Constructive Optimization: A Public Interest Approach to Recommender Systems in the Digital Services Act
2025 · L. Naudts, N. Helberger, et al. · Journal of Consumer Policy · 17
Digital Fairness for Consumers
2024 · Natali Helberger, Betül Kas, et al. · OSF Preprints (OSF Preprints) · 14
Meaningful transparency through data rights: A multidimensional analysis
2022 · Laurens Naudts, Pierre Dewitte, et al. · Edward Elgar Publishing eBooks · 9
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How Machine Learning Generates Unfair Inequalities and How Data Protection Instruments May Help in Mitigating Them
2019 · Laurens Naudts · Hart Publishing eBooks · 8
Understanding AI Disclosure Needs for News Production and Journalism
2025 · Karthikeya Puttur Venkatraj, Sophie Morosoli, et al. · International Conference on Mobile and Ubiquitous Multimedia (MUM) · 7
Fairness and Artificial Intelligence
2025 · Laurens Naudts, Anton Vedder · Cambridge University Press eBooks · 6
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Towards a Code of Ethics for Artificial Intelligence by Paula Boddington
2019 · L. Naudts · Delphi - Interdisciplinary Review of Emerging Technologies · 6
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Towards Accountability: The Articulation and Formalization of Fairness in Machine Learning
2018 · Laurens Naudts · SSRN Electronic Journal · 5
Criminal Profiling and Non-Discrimination: On Firm Grounds for the Digital Era?
2019 · Laurens Naudts · Intersentia eBooks · 4
Fair or Unfair Algorithmic Differentiation? Luck Egalitarianism As a Lens for Evaluating Algorithmic Decision-Making.
2017 · Laurens Naudts · SSRN Electronic Journal · 4
“Transparency is More Than a Label”: Audiences’ Information Needs for AI Use Disclosures in News
2026 · Hannes Cools, Sophie Morosoli, et al. · Digital Journalism · 2
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Regulating Authenticity in Artificial Times: Synthetic interactions, democratic risks, and the limitations of the AI Act’s transparency obligations.
2026 · Laurens Naudts, Natali Helberger, et al. · SocArXiv (OSF Preprints) · 2
Toward Constructive Optimisation: A new perspective on the regulation of recommender systems and the rights of users and society
2024 · Laurens Naudts, Natali Helberger, et al. · OSF Preprints (OSF Preprints) · 2
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From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives
2026 · Delfina S. Martinez Pandiani, Ella Streefkerk, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 1
Fair or Unfair Differentiation? Reconsidering the Concept of Equality for the Regulation of Algorithmically Guided Decision-Making.
2025 · Laurens Naudts · OSF Preprints (OSF Preprints) · 1
Data-Driven Inequality and Discrimination: Challenges and Opportunities for Regulating AI Systems in the CoE and EU
2024 · Laurens Naudts, Ana Maria Corrêa · Hart Publishing eBooks · 1
Works count: 81
Citation count: 554
H-index: 11
I10-index: 11
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