Abstract is missing.
- Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and CultureAbhishek Mandal, Suzanne Little, Susan Leavy. [doi]
- Recommendations for Bias Mitigation Methods: Applicability and LegalityMadeleine Waller, Odinaldo Rodrigues, Oana Cocarascu. [doi]
- Visualizing Bias in Activations of Deep Neural Networks as Topographic MapsValerie Krug, Christopher Olson, Sebastian Stober. [doi]
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract SystemEleonora Misino, Roberta Calegari, Michele Lombardi 0001, Michela Milano. [doi]
- EXTRACT: Explainable Transparent Control of Bias in EmbeddingsZhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini. [doi]
- Causal Fair Machine Learning via Rank-Preserving Interventional DistributionsLudwig Bothmann, Susanne Dandl, Michael Schomaker. [doi]
- A geometric framework for fairnessAlessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi 0001, Michela Milano. [doi]
- Symbolic AI (LFIT) for XAI to handle biasesJavier Tello, Marina de la Cruz, Tony Ribeiro, Julian Fiérrez, Aythami Morales, Ruben Tolosana, César Luis Alonso, Alfonso Ortega 0002. [doi]
- Impact based fairness framework for socio-technical decision makingMattias Brännström, Lili Jiang 0002, Andrea Aler Tubella, Virginia Dignum. [doi]
- Reasoning With BiasChiara Manganini, Giuseppe Primiero. [doi]
- Bias Mitigation for Large Language Models using Adversarial LearningJasmina S. Ernst, Sascha Marton, Jannik Brinkmann, Eduardo Vellasques, Damien Foucard, Martin Kraemer, Marian Lambert. [doi]
- Fairness in job recommendations: estimating, explaining, and reducing gender gapsGuillaume Bied, Christophe Gaillac, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Solal Nathan, Michèle Sebag. [doi]