default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEWAF 2025: Eindhoven, The Netherlands
- Hilde J. P. Weerts, Mykola Pechenizkiy, Doris Allhutter, Ana Maria Corrêa, Thomas Grote, Cynthia C. S. Liem:
European Workshop on Algorithmic Fairness, 30-2 July 2025, Eindhoven University of Technology, Eindhoven, The Netherlands. Proceedings of Machine Learning Research 294, PMLR 2025 - Hilde J. P. Weerts, Mykola Pechenizkiy, Doris Allhutter, Ana Maria Corrêa, Thomas Grote, Cynthia C. S. Liem:
Fourth European Workshop on Algorithmic Fairness (EWAF'25). 1-9 - Anna Capella i Ricart:
Equality insights in the development of fairer high-risk AI systems and the control of its discriminatory impacts. 10-26 - Agathe Balayn, Ujwal Gadiraju:
Harmful Impacts of ML: Empirically Triangulating the Concerns and Practices of Developers. 27-63 - Ludwig Bothmann, Kristina Peters, Bernd Bischl:
What is Fairness? On Protected Attributes and Fictitious Worlds. 64-91 - Charlotte Leininger, Simon Rittel, Ludwig Bothmann:
Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective. 92-115 - Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli:
The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making. 116-134 - Kate Kaye:
Uncovering Areas for AI Governance Tools Refinement through Real-World Use Case Analysis from Canada, Chile and Singapore. 135-151 - Aviva de Groot:
Move forward or break ranks: Workshopping re-idealized explanation obligations to foster fundamental change and resistance to oppression. 152-170 - Olalekan Joseph Akintande, Siavash Arjomand Bigdeli, Aasa Feragen:
Medicine After Death: XAI and Algorithmic Fairness Under Label Bias. 171-186 - Patrick Oliver Schenk, Christoph Kern, Trent Buskirk:
Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias. 187-211 - Steven Vethman, Ajaya Adhikari, Eliza Hobo, Maaike de Boer, Joost A. G. M. van Genabeek, Cor J. Veenman:
Detecting Discrimination in Job Vacancies: A Critical Reflection on the Potential of AI Language Models. 212-231 - Niloy Purkait, Henry Brighton, Emmanuel Keuleers:
Exposing Hidden Vulnerabilities: A privacy audit of algorithmic fairness. 232-250 - Rijk Mercuur, Sieuwert van Otterloo, Huib Aldewereld:
A Five-Phase Framework for Fair Insurance: Reviewing Strategies for Digital Price Differentiation. 251-264 - Agustina Del Campo, Nicolás Zara, Ramiro Alvarez-Ugarte:
Reclaiming Human Rights for Platform Governance: Proposals for Restoring Their Centrality in the Era of Risks. 265-280 - Simon Jarvers, Chiara Ullstein, Jens Grossklags:
Uncertainty as a Primary Barrier for Trustworthy AI Under the EU AI Act: German SME Perspectives. 281-287 - Ioanna Thoma, Elisabeth Abhayaratna, Matthew Sperrin, Karla Diaz-Ordaz, Ricardo Silva, Brieuc Lehmann:
Investigating fair data acquisition for risk prediction in resource-constrained settings. 288-294 - Christoffer Koch Andersen
:
Beyond Fairness: Trans Unliveability in European Algorithmic Assemblages. 295-302 - Eva de Winkel, Jacqueline Kernahan, Roel Dobbe:
Towards a system-theoretic approach to algorithmic (un)fairness. 303-309 - Raphaële Xenidis, Miriam Fahimi:
Standardising Equality in the Algorithmic Society? A Research Agenda. 310-314 - Donal Khosrowi, Markus Ahlers, Philippe van Basshuysen:
We Need to Talk About Self-Fulfilling Predictions. 315-321 - Mattia Cerrato, Marius Köppel, Kiara Stempel, Philipp Wolf, Stefan Kramer:
Stochastic Fairness Interventions Are Arbitrary. 322-328 - Magali Legast, Toon Calders, François Fouss:
Influence of Label and Selection Bias on Fairness Interventions. 329-334 - Marco Favier, Toon Calders:
From Implicit to Explicit Assumptions: Why There is No Fairness Without Bias-Awareness. 335-338 - Anne Oloo, Daphne Lenders:
Algorithmic Fairness over the Years - A Scoping Review of Research in Computer Science and Law. 339-343 - Severin Engelmann, Rajiv Movva:
LLMs' Pluralistic Compatibility. 344-350 - Samaneh Bagheri, Vanessa Dirksen:
Toward developing a Social Impact Assessment for AI in the public sector (SIA4AI) framework: key design considerations. 351-356 - Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Facial Demography Analysis of the LAION Dataset. 357-361 - Iqra Aslam:
Situating and Understanding Machine Unlearning, Ethically. 362-368 - Alejandro Pérez-Fuente, Pablo A. Criado-Lozano, M. Mercedes Martínez-González:
Fake Transparency: When Mobile Apps Say One Thing but Do Another. 369-375 - Thomas Leis:
Ethical Implications of Mental Health Chatbots: Addressing Anthropomorphism, Deception, and Regulatory Gaps. 376-382 - MaryBeth Defrance, Maarten Buyl, Tijl De Bie:
ABCFair: an Adaptable Benchmark approach for Comparing Fairness methods. 383-388 - Chiara Ullstein, Michel Hohendanner, Jens Grossklags:
Anticipating Risks and Identifying Governance Measures for the Use of genAI and FPT: Citizens' Perspectives Across Six Countries. 389-395 - Eduardo Sánchez-Karhunen, Jose F. Quesada-Moreno, Miguel A. Gutiérrez-Naranjo:
Bias in Intent Detection: A Dynamical Systems Perspective. 396-402 - Marie Mirsch, Jonas Strube, Carmen Leicht-Scholten:
Invisible Inequalities - Intersectional Fairness in Educational AI. 403-409 - Dominik Kowald:
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain. 410-416 - Judit Herman, Kira Diana Kovacs, Yaije Wang, Orsolya Vasarhelyi:
Evaluating Gender Bias in Large Language Models in Academic Knowledge Production. 417-422 - Heiner Heiland, Matthias Sommer:
The social construction of algorithms and the limits of algorithmic transparency. 423-427 - Clara Strasser Ceballos, Marcus Novotny, Christoph Kern:
Re-evaluating the role of refugee integration factors for building more equitable allocation algorithms. 428-433 - Xenia Heilmann, Luca Corbucci, Mattia Cerrato:
A Benchmark for Client-level Fairness in Federated Learning. 434-438 - Ivan Srba, Branislav Pecher, Jakub Simko, Róbert Móro, Mária Bieliková:
Model-based Algorithmic Auditing of Social Media AI Algorithms. 439-445 - Katarína Marcinucinová, Adrian Gavornik, Matúus Mesarucík, Michal Kompan:
Towards Trustworthy Multi-stakeholder Recommender Systems. 446-451 - Megan Nyhan, Susan Leavy, Pranav Narula, Kevin Doherty, Barry O'Sullivan, Ruihai Dong, Izzy Fox, Josephine Griffith:
Algorithmic Transparency: The EU Digital Services Act and Young People's Experiences of Online Platforms. 452-456 - Sakina Hansen:
Exclusion or Efficiency: Understanding Perspectives about AI Ethics Among Charity Workers in the United Kingdom. 457-473 - Miriam Doh, Aditya Gulati, Matei Mancas, Nuria Oliver:
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces. 474-480 - Paula Nauta, Fariba Karimi, Ana María Jaramillo:
How is the Socio-Demographic Background of Researchers in AI & ML Related to the Values reflected in their Research? 481-486 - Christoph Kern, Jakob Kappenberger, Frederic Gerdon, Clara Strasser Ceballos, Daria Szafran, Florian Rupp, Ruben L. Bach:
A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching. 487-491 - Gregor Autischer, Kerstin Waxnegger, Dominik Kowald:
AI Certification and Assessment Catalogues: Practical Use and Challenges in the Context of the European AI Act. 492-498 - Yong Suk Lee:
Can AI Help Reduce Human Bias? Insights from Police Rearrest Predictions. 499-504 - Stavros Davidopoulos, Panagiotis Symeonidis, Dimitris Sacharidis:
Individual Fairness in Algorithmic Hiring. 505-510
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-03-09 22:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
