Mayra Russo

According to our database, Mayra Russo authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint).

Mayra Russo, Maria-Esther Vidal

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Documenting Bias in Data through Ontologies.

Mayra Russo

PhD thesis, 2025

Towards an Ontology-Driven Approach to Document Bias.

Mayra Russo, Maria-Esther Vidal

J. Artif. Intell. Res., 2025

Tracing Bias for Fairer Content-Based Misinformation Detection.

Mayra Russo, Flavio Merenda, José Manuél Gómez-Pérez, Maria-Esther Vidal

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Policy advice and best practices on bias and fairness in AI.

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

Ethics Inf. Technol., June, 2024

Articulation Work and Tinkering for Fairness in Machine Learning.

Miriam Fahimi, Mayra Russo, Kristen M. Scott, Maria-Esther Vidal, Bettina Berendt, Katharina Kinder-Kurlanda

Proc. ACM Hum. Comput. Interact., 2024

Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines.

Mayra Russo, Yashrajsinh Chudasama, Disha Purohit, Sammy Sawischa, Maria-Esther Vidal

IEEE Access, 2024

Tracing the Impact of Bias in Link Prediction.

Mayra Russo, Sammy Fabian Sawischa, Maria-Esther Vidal

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence.

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

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

Bridging Research and Practice Through Conversation: Reflecting on Our Experience.

Mayra Russo, Mackenzie Jorgensen, Kristen M. Scott, Wendy Xu, Di H. Nguyen, Jessie Finocchiaro, Matthew Olckers

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

Leveraging Ontologies to Document Bias in Data.

Mayra Russo, Maria-Esther Vidal

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts.

José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal

Semantic Web, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal

CoRR, 2023

A Multidisciplinary Lens of Bias in Hate Speech.

Paula Reyero Lobo, Joseph Kwarteng, Mayra Russo, Miriam Fahimi, Kristen M. Scott, Antonio Ferrara, Indira Sen, Miriam Fernández

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms.

Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023