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ORCIDEWAF 2024: Mainz, Germany
- Mattia Cerrato, Alesia Vallenas Coronel, Petra Ahrweiler, Michele Loi, Mykola Pechenizkiy, Aurelia Tamò-Larrieux:
Proceedings of the 3rd European Workshop on Algorithmic Fairness, Mainz, Germany, July 1st to 3rd, 2024. CEUR Workshop Proceedings 3908, CEUR-WS.org 2025 - Benoît Ronval, Siegfried Nijssen, Ludwig Bothmann:
Can Generative Ai-based Data Balancing Mitigate Unfairness Issues in Machine Learning? - Matteo Fabbri:
Governing Online Platforms After the Digital Services Act: an Analysis of the Commission Decision on Initiating Proceedings Against X. - José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri:
Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence. - Isacco Beretta, Martina Cinquini, Isabel Valera:
Enhancing Fairness Through Time-aware Recourse: a Pathway to Realistic Algorithmic Recommendations. - Otto Sahlgren:
When the Ideal Does Not Compute: Nonideal Theory and Fairness in Machine Learning. - Stephan Wolters:
Beyond Silos: an Interdisciplinary Analysis of Intersectional Discrimination From an Eu Perspective. - Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Fosca Giannotti, Dino Pedreschi:
A Fair Selective Classifier to Put Humans in the Loop. - Deborah Dormah Kanubala, Isabel Valera, Kavya Gupta:
Fairness Beyond Binary Decisions: a Case Study on German Credit. - David Hartmann, Amin Oueslati, Dimitri Staufer:
Watching the Watchers: a Comparative Fairness Audit of Cloud-based Content Moderation Services. - Marie Christin Decker, Laila Wegner, Carmen Leicht-Scholten:
Challenging "subgroup Fairness": Towards Intersectional Algorithmic Fairness Based on Personas. - Chiara Ullstein, Michel Hohendanner, Jens Grossklags:
Mapping Policymakers' and Laypeople's Perceptions of Genai and Fpt. - Elisabeth Kraus, Christoph Kern:
Measurement Modeling of Predictors and Outcomes in Algorithmic Fairness. - Clara Strasser Ceballos, Christoph Kern:
Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment? - Marco Favier, Toon Calders:
How to Be Fair? a Discussion and Future Perspectives. - Susana Lavado, Leid Zejnilovic:
Building Job Seekers' Profiles: Can Llms Level the Playing Field? - MaryBeth Defrance, Maarten Buyl, Tijl De Bie:
Fairret: a Flexible Pytorch Library for Fairness. - Vincent Freiberger, Erik Buchmann:
Fair Balancing? Evaluating Llm-based Privacy Policy Ethics Assessments. - Jan Simson, Alessandro Fabris, Christoph Kern:
Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets. - Laila Wegner, Marie Christin Decker, Carmen Leicht-Scholten:
Beyond Distributions: a Systematic Review on Relational Algorithmic Justice. - Adrian Byrne:
Pricing Risk: Analysis of Irish Car Insurance Premiums. - Corinna Hertweck, Maya Guido:
20% Increase in Fairness for Black Applicants": a Critical Examination of Fairness Measurements Offered by Startups. - Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl:
Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle. - Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling, Niklas Kühl:
Implications of the Ai Act for Non-discrimination Law and Algorithmic Fairness. - Mira Reisinger, Rania Wazir:
Integrating Fairness in Ai Development: Technical Insights From the Fair by Design Framework. - Joachim Baumann, Celestine Mendler-Dünner:
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists. - Christopher Hojny, Frits C. R. Spieksma, Sten Wessel:
Fairness in Graph-theoretical Optimization Problems. - Chaewon Yun, Claudia Wagner, Jan-Christoph Heilinger:
It Is Not About Bias But Discrimination. - Magali Legast, Lisa Koutsoviti Koumeri, Yasaman Yousefi, Axel Legay:
Exploration of Potential New Benchmark for Fairness Evaluation in Europe. - Marta Marchiori Manerba:
Eliciting Discrimination Risks in Algorithmic Systems: Taxonomies and Recommendations. - Matteo Fabbri, Jingyi Jia, Wolfgang Woerndl:
Enabling Users' Control on Recommender Systems for Short Videos: a Design Proposal for the Implementation of the Requirements of the Digital Services Act. - Daniel Anadria, Anastasia Giachanou, Jacqueline Kernahan, Roel Dobbe, Daniel L. Oberski:
Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities. - Mattia Cerrato, Marius Köppel, Kiara Stempel, Alesia Vallenas Coronel, Niklas Witzig:
Trust in Fair Algorithms: Pilot Experiment. - Fatemeh Mohammadi, Marta Annamaria Tamborini, Paolo Ceravolo, Costanza Nardocci, Samira Maghool:
Identifying Gender Stereotypes and Biases in Automated Translation From English to Italian Using Similarity Networks. - Brian K. Masinde, Caroline Gevaert, Michael H. Nagenborg, Marc van den Homberg, Jaap Zevenbergen:
Algorithmic Fairness in Geo-intelligence Workflows Through Causality. - Meirav Segal, Anne-Marie George, Christos Dimitrakakis:
Threshold Recourse for Dynamic Allocations. - Teresa Scantamburlo, Joachim Baumann, Christoph Heitz:
On Prediction-modelers and Decision-makers: Why Fairness Requires More Than a Fair Prediction Model. - Gabriel Grill:
Risky Complaints: Unpacking Recent Trends in Risk Assessment Across Global Supply Chains. - Matteo Fabbri, Jesús Salgado:
Categorizing Algorithmic Recommendations: a Matter of System, Agent, Patient. - Ioanna Papageorgiou:
Proxy Fairness Under the Gdpr and the Ai Act: a Perspective of Sensitivity and Necessity. - Swati, Arjun Roy, Eirini Ntoutsi:
Exploring Fusion Techniques in Multimodal Ai-based Recruitment: Insights From Faircvdb.
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last updated on 2025-02-28 22:09 CET by the dblp team
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