AEQUITAS 2024

Table of Contents

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• Setting the AI Agenda – Evidence from Sweden in the ChatGPT Era PDF
  Pasko Kisic-Merino, Kajsa Hansson, Bastiaan Bruinsma, Annika Fredén, Denitsa Saynova, Moa Johansson
• ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups PDF
  Mengnan Du, Jingyu Hu (disambiguation), Jun Hong 0001, Weiru Liu
• Combining Fairness and Causal Graphs to Advance Both PDF
  Lea Cohausz, Heiner Stuckenschmidt, Jakob Kappenberger
• Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation PDF
  Moisés Santos, Carlos Soares, André C. P. L. F. de Carvalho
• Leveraging Ontologies to Document Bias in Data PDF
  Mayra Russo, Maria-Esther Vidal
• Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes PDF
  Manh Khoi Duong, Stefan Conrad 0001
• Mitigating Toxicity in Dialogue Agents through Adversarial Reinforcement Learning PDF
  Javier Del Ser, Borja Sanz 0001, Guillermo Villate-Castillo
• Enforcing Fairness via Constraint Injection with FaUCI PDF
  Giovanni Ciatto, Matteo Magnini, Roberta Calegari, Andrea Omicini
• Using Protected Attributes to Consider Fairness in Multi-Agent Systems PDF
  Michael Luck, Elizabeth Black, Gabriele La Malfa, Jie Zhang 0050
• Does spatio-temporal information benefit the video summarization task? PDF
  Mirela Popa, Nava Tintarev, Daan Odijk, Aashutosh Ganesh
• Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes PDF
  Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi 0001
• Data Quality Dimensions for Fair AI PDF
  Camilla Quaresmini, Giuseppe Primiero
• Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models PDF
  Federico Sabbatini, Roberta Calegari
• Bias, Subjectivity and Norm in Large Language Models PDF
  Thierry Poibeau
• From Inclusive Language to Inclusive AI: A Proof-of-Concept Study into Pre-Trained Models PDF
  Susan Leavy, Marion Bartl
• FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability PDF
  Fredrik Heintz, Md. Fahim Sikder, Daniel de Leng, Resmi Ramachandranpillai
• AI-fairness and equality of opportunity: a case study on educational achievement PDF
  Roberta Calegari, Liam James, Angel S. Marrero, Carlos Bethencourt, Gustavo A. Marrero