Maite
López-Sánchez
Associated Unit Member
Associated Unit
Virtual Worlds, Visualisation and Artificial Intelligence Group - Universidad de Barcelona (UB)
Research areas:
- Ethics & AI
- Deep Learning
- Multiagent Systems
- Multi-Objective Optimization
- Natural Language Processing
- Responsible AI
- Agent-Based Simulation
- Machine Learning
- Autonomous Robots
- Normative Systems
- Social choice
- Argumentation
- Combinatorial Optimisation
Impact areas:
- Ethics
- Creativity
- Smart Cities
SDGs:
- GOAL 10: Reduced Inequality
- SDGs: General
- GOAL 16: Peace, Justice and Strong Institutions
- GOAL 11: Sustainable Cities and Communities
- GOAL 09: Industry, Innovation & Infrastructure
2025
Eric Roselló-Marín,
Inmaculada Rodríguez Santiago,
Maite López-Sánchez,
Manel Rodríguez Soto,
& Juan A. Rodríguez-Aguilar
(2025).
A Conversational Agent That Learns to be Aligned With the Moral Value of Respect.
The European Journal on Artificial Intelligence.
https://doi.org/10.1177/30504554241311168.
[BibTeX]
[PDF]
Arnau Mayoral Macau,
Manel Rodríguez Soto,
Enrico Marchesini,
Martí Sánchez Fibla,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Alessandro Farinelli
(2025).
An approximate embedding for designing ethical reinforcement learning environments.
Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025)
.
[BibTeX]
[PDF]
Arnau Mayoral Macau,
Manel Rodríguez Soto,
Enrico Marchesini,
Maite López-Sánchez,
Martí Sánchez Fibla,
Alessandro Farinelli,
& Juan A. Rodríguez-Aguilar
(2025).
Automated ethical design of multi-agent reinforcement learning environments.
Proceedings of the 27th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2025
.
[BibTeX]
[PDF]
Arnau Mayoral Macau,
Manel Rodríguez Soto,
Enrico Marchesini,
Martí Sánchez Fibla,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Alessandro Farinelli
(2025).
Designing ethical environments using multi-agent reinforcement learning.
Adaptive and Learning Agents Workshop (AAMAS 2025)
.
[BibTeX]
[PDF]
Chengheng Li Chen,
Antonio Lobo Santos,
Marc Serramia,
& Maite Lopez-Sanchez
(2025).
Trustworthy AI Through Dual-Role Reasoning: Ethical, Legal, and Psychological Internal Critique.
Proceedings of the Identity-Aware AI workshop at the 28th European Conference on Artificial Intelligence
.
[BibTeX]
[PDF]
2024
Manel Rodríguez Soto,
Juan A. Rodríguez-Aguilar,
& Maite López-Sánchez
(2024).
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning.
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
.
[BibTeX]
[PDF]
Marc Serramia,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Stefano Moretti
(2024).
Value Alignment in Participatory Budgeting.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems
(pp. 1692–1700).
International Foundation for Autonomous Agents and Multiagent Systems.
[BibTeX]
[PDF]
2023
Marc Serramia,
Maite López-Sánchez,
Stefano Moretti,
& Juan A. Rodríguez-Aguilar
(2023).
Building rankings encompassing multiple criteria to support qualitative decision-making.
Information Sciences, 631, 288-304.
https://doi.org/10.1016/j.ins.2023.02.063.
[BibTeX]
[PDF]
Marc Serramia,
Manel Rodríguez Soto,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
Filippo Bistaffa,
Paula Boddington,
Michael Wooldridge,
& Carlos Ansotegui
(2023).
Encoding Ethics to Compute Value-Aligned Norms.
Minds and Machines, 33, 761--790.
https://doi.org/10.1007/s11023-023-09649-7.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2023).
Multi-objective reinforcement learning for designing ethical multi-agent environments.
Neural Computing and Applications.
https://doi.org/10.1007/s00521-023-08898-y.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Roxana Radulescu,
Juan A. Rodríguez-Aguilar,
Maite López-Sánchez,
& Ann Nowé
(2023).
Multi-objective reinforcement learning for guaranteeing alignment with multiple values.
Adaptive and Learning Agents Workshop (AAMAS 2023)
.
[BibTeX]
[PDF]
Enrico Liscio,
Roger Xavier Lera Leri,
Filippo Bistaffa,
Roel I. J. Dobbe,
Catholijn M. Jonker,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Pradeep K. Murukannaiah
(2023).
Value Inference in Sociotechnical Systems.
Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
(pp. 1774-1780).
[BibTeX]
[PDF]
2022
Eric Roselló-Marín,
Maite López-Sánchez,
Inmaculada Rodríguez Santiago,
Manel Rodríguez Soto,
& Juan A. Rodríguez-Aguilar
(2022).
An Ethical Conversational Agent to Respectfully Conduct In-Game Surveys.
Artificial Intelligence Research and Development (pp 335--344).
IOS Press.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Juan A. Rodríguez-Aguilar,
& Maite López-Sánchez
(2022).
Building Multi-Agent Environments with Theoretical Guarantees on the Learning of Ethical Policies.
.
Adaptive and Learning Agents Workshop at AAMAS 2022 (ALA 2022).
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Marc Serramia,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2022).
Instilling moral value alignment by means of multi-objective reinforcement learning.
Ethics and Information Technology, 24.
https://doi.org/10.1007/s10676-022-09635-0.
[BibTeX]
[PDF]
Roger Xavier Lera Leri,
Filippo Bistaffa,
Marc Serramia,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2022).
Towards Pluralistic Value Alignment: Aggregating Value Systems through ℓₚ-Regression.
Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems
.
International Foundation for Autonomous Agents and Multiagent Systems.
[BibTeX]
[PDF]
2021
Arthur Müller,
& Maite López-Sánchez
(2021).
Countering Negative Effects of Hate Speech in a Multi-Agent Society.
Artificial Intelligence Research and Development (pp 103--112).
IOS Press.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2021).
Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning.
.
Adaptive and Learning Agents Workshop at AAMAS 2021 (ALA 2021).
[BibTeX]
[PDF]
Maite López-Sánchez,
Marc Serramia,
& Juan A. Rodríguez-Aguilar
(2021).
Improving on-line debates by aggregating citizen support.
Artificial Intelligence Research and Development - Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence
(pp. 425--434).
IOS Press.
https://doi.org/10.3233/FAIA210163.
[BibTeX]
[PDF]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2021).
Multi-Objective Reinforcement Learning for Designing Ethical Environments.
Proceedings of the 30th International Joint Conference on Artificial Intelligence, (IJCAI-21)
(pp. 545-551).
[BibTeX]
[PDF]
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