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Publication search results
found 31 matches
- 2024
- Marion Bartl, Susan Leavy:
From Inclusive Language to Inclusive AI: A Proof-of-Concept Study into Pre-Trained Models. AEQUITAS@ECAI 2024 - Bastiaan Bruinsma, Annika Fredén, Kajsa Hansson, Moa Johansson, Pasko Kisic-Merino, Denitsa Saynova:
Setting the AI Agenda - Evidence from Sweden in the ChatGPT Era. AEQUITAS@ECAI 2024 - Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt:
Combining Fairness and Causal Graphs to Advance Both. AEQUITAS@ECAI 2024 - Manh Khoi Duong, Stefan Conrad:
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes. AEQUITAS@ECAI 2024 - Aashutosh Ganesh, Mirela Popa, Daan Odijk, Nava Tintarev:
Does spatio-temporal information benefit the video summarization task? AEQUITAS@ECAI 2024 - Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi:
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes. AEQUITAS@ECAI 2024 - Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. AEQUITAS@ECAI 2024 - Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini:
Enforcing Fairness via Constraint Injection with FaUCI. AEQUITAS@ECAI 2024 - Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black:
Using Protected Attributes to Consider Fairness in Multi-Agent Systems. AEQUITAS@ECAI 2024 - Angel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta Calegari:
AI-fairness and equality of opportunity: a case study on educational achievement. AEQUITAS@ECAI 2024 - Thierry Poibeau:
Bias, Subjectivity and Norm in Large Language Models. AEQUITAS@ECAI 2024 - Camilla Quaresmini, Giuseppe Primiero:
Data Quality Dimensions for Fair AI. AEQUITAS@ECAI 2024 - Mayra Russo, Maria-Esther Vidal:
Leveraging Ontologies to Document Bias in Data. AEQUITAS@ECAI 2024 - Federico Sabbatini, Roberta Calegari:
Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models. AEQUITAS@ECAI 2024 - Moisés Santos, André C. P. L. F. de Carvalho, Carlos Soares:
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation. AEQUITAS@ECAI 2024 - Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz:
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. AEQUITAS@ECAI 2024 - Guillermo Villate-Castillo, Borja Sanz, Javier Del Ser:
Mitigating Toxicity in Dialogue Agents through Adversarial Reinforcement Learning. AEQUITAS@ECAI 2024 - Roberta Calegari, Virginia Dignum, Barry O'Sullivan:
Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 20th, 2024. CEUR Workshop Proceedings 3808, CEUR-WS.org 2024 [contents] - 2023
- Guillaume Bied, Christophe Gaillac, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Solal Nathan, Michèle Sebag:
Fairness in job recommendations: estimating, explaining, and reducing gender gaps. AEQUITAS@ECAI 2023 - Ludwig Bothmann, Susanne Dandl, Michael Schomaker:
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions. AEQUITAS@ECAI 2023 - Mattias Brännström, Lili Jiang, Andrea Aler Tubella, Virginia Dignum:
Impact based fairness framework for socio-technical decision making. AEQUITAS@ECAI 2023 - Jasmina S. Ernst, Sascha Marton, Jannik Brinkmann, Eduardo Vellasques, Damien Foucard, Martin Kraemer, Marian Lambert:
Bias Mitigation for Large Language Models using Adversarial Learning. AEQUITAS@ECAI 2023 - Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
EXTRACT: Explainable Transparent Control of Bias in Embeddings. AEQUITAS@ECAI 2023 - Valerie Krug, Christopher Olson, Sebastian Stober:
Visualizing Bias in Activations of Deep Neural Networks as Topographic Maps. AEQUITAS@ECAI 2023 - Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano:
A geometric framework for fairness. AEQUITAS@ECAI 2023 - Abhishek Mandal, Suzanne Little, Susan Leavy:
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI 2023 - Chiara Manganini, Giuseppe Primiero:
Reasoning With Bias. AEQUITAS@ECAI 2023 - Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano:
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. AEQUITAS@ECAI 2023 - Javier Tello, Marina de la Cruz, Tony Ribeiro, Julian Fiérrez, Aythami Morales, Ruben Tolosana, César Luis Alonso, Alfonso Ortega:
Symbolic AI (LFIT) for XAI to handle biases. AEQUITAS@ECAI 2023 - Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Recommendations for Bias Mitigation Methods: Applicability and Legality. AEQUITAS@ECAI 2023
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