Carlos Mougan

According to our database, Carlos Mougan authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

Measuring Fairness in Financial Transaction Machine Learning Models.

Deniz Sezin Ayvaz, Lorenzo Belenguer, Hankun He, Deborah Dormah Kanubala, Mingxu Li, Soung Low, Carlos Mougan, Faithful Chiagoziem Onwuegbuche, Yulu Pi, Natalia Sikora, Dan Tran, Shresth Verma, Hanzhi Wang, Skyler Xie, Adeline Pelletier

CoRR, January, 2025

Model Monitoring in the Absence of Labeled Data via Feature Attributions Distributions.

Carlos Mougan

CoRR, January, 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

Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment.

Allison Huang, Yulu Niki Pi, Carlos Mougan

CoRR, 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

2023

Model Agnostic Explainable Selective Regression via Uncertainty Estimation.

Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen

CoRR, 2023

Kantian Deontology Meets AI Alignment: Towards Morally Robust Fairness Metrics.

Carlos Mougan, Joshua Brand

CoRR, 2023

AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI.

Ayse Gizem Yasar, Andrew Chong, Evan Dong, Thomas Krendl Gilbert, Sarah Hladikova, Roland Maio, Carlos Mougan, Xudong Shen, Shubham Singh, Ana-Andreea Stoica, Savannah Thais, Miri Zilka

CoRR, 2023

The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy.

Francisco Castillo-Eslava, Carlos Mougan, Alejandro Romero-Reche, Steffen Staab

CoRR, 2023

Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions.

Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2023

Demographic Parity Inspector: Fairness Audits via the Explanation Space.

Carlos Mougan, Laura State, Antonio Ferrara, Salvatore Ruggieri, Steffen Staab

CoRR, 2023

How to Data in Datathons.

Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas Egea, Ryan Sze-Yin Chan, David Salvador Jasin, Martin Stoffel, Kirstie J. Whitaker, Jules Manser

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fairness Implications of Encoding Protected Categorical Attributes.

Carlos Mougan, José M. Álvarez, Salvatore Ruggieri, Steffen Staab

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

Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap.

Carlos Mougan, Dan Saattrup Nielsen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Explanation Shift: Detecting distribution shifts on tabular data via the explanation space.

Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2022

Fairness implications of encoding protected categorical attributes.

Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab

CoRR, 2022

2021

Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems.

Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021