Adrián Arnaiz-Rodríguez

Postdoctoral Researcher

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Adrián Arnaiz Rodríguez is a postdoctoral student at ELLIS Alicante.

He obtained his PhD in September 2025 at ELLIS Alicante (and the University of Alicante) under the supervision of Nuria Oliver (ELLIS Alicante) and Miguel Ángel Ortega (University of Alicante). He completed his stay at the Max Planck Institute for Software Systems (MPI-SWS) under the supervision of Manuel Gómez Rodríguez. His doctoral thesis focused on algorithmic fairness in AI decision-making and recommendation systems, both from technical evaluation and mitigation proposals, as well as its intersection with regulation. He also conducted research on graph neural networks (GNN). The title of his thesis was “A Sociotechnical Approach to Trustworthy AI: from Algorithms to Regulation.

He studied a Bachelor’s Degree in Computer Engineering (2019, University of Burgos) and a Master’s Degree in Data Science and Artificial Intelligence (2021, Open University of Catalonia).

The topics addressed in his research are fairness, reliability, and transparency in algorithmic decision-making and recommendation systems when using AI or GPAI systems, with a special interest in their evaluations and technical proposals.

In his more technical work, he focuses on the problems of GNNs, and in his more interdisciplinary work, he focuses on the intersection of AI systems with both new and existing regulation.

Website: https://adrian-arnaiz.netlify.app
Link to ORCID profile: ORCID iD icon https://orcid.org/0000-0001-5567-801X

Publications in association with ELLIS Alicante

2025

09/29
Arnaiz-Rodríguez, A., Baidal, M., Derner, E., Layton Annable, J., Ball, M., Ince, M., Perez Vallejos, E., & Oliver, N. (2025). Between Help and Harm: An Evaluation of Mental Health Crisis Handling by LLMs. Under review.
09/26
Alicante, ES
Arnaiz-Rodriguez, A. (2025). A Sociotechnical Approach to Trustworthy AI: from Algorithms to Regulation. PhD Thesis, University of Alicante.
Thesis Defense
09/15
Porto, PT
Arnaiz-Rodríguez, A., Corvelo Benz, N., Thejaswi, S., Oliver, N., & Gomez Rodriguez, M. (2025). Towards Human-AI Complementarity in Matching Tasks. The Third Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM'25) at ECML-PKDD 2025.
Oral
09/15
Porto, PT
Arnaiz-Rodríguez, A., & Errica, F. (2025). Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning. 22nd International Workshop on Mining and Learning with Graphs at ECML-PKDD 2025.
Best Paper and Poster Award at MLG 2025 at ECML-PKDD 2025
07/18
Vancouver, CA
Schweighofer, K., Arnaiz-Rodríguez, A., Hochreiter, S., & Oliver, N. (2025). The Disparate Benefits of Deep Ensembles. ICML'25: International Conference on Machine Learning.
06/07
Copenhagen, DK
Arnaiz-Rodríguez, A., Curto, G., & Oliver, N. (2025). Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance. International AAAI Conference on Web and Social Media (ICWSM).

2024

12/19
Arnaiz-Rodríguez, A., & Losada-Carreño, J. (2024). Studying Causality in Algorithmic Decision Making: the Impact of IA in the Business Environment. Revista Internacional y Comparada de RELACIONES LABORALES Y DERECHO DEL EMPLEO.
11/01
Arnaiz-Rodríguez, A., & Losada-Carreño, J. (2024). Intersection of reliable AI with Labor Law. A legal and technical study from a tripartite taxonomy. Revista General de Derecho del Trabajo y de la Seguridad Social.
03/06
Singapore, Singapore
Arnaiz-Rodríguez, A., Curto, G., & Oliver, N. (2024). Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance. WWW 2024 Workshop on Trustworthy Learning on Graphs (TrustLOG).
03/06
Vienna, Austria
Arnaiz-Rodríguez, A., & Oliver, N. (2024). Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values. ICLR 2024 Workshop on Data-centric Machine Learning Research (DMLR).

2023

05/05
Curto, G., Arnaiz-Rodríguez, A., & Oliver, N. (2023). Algorithms for Social Justice: Affirmative Action in Social Networks. arXiv:2305.03223.
03/03
Arnaiz-Rodríguez, A., Escolano, F., & Oliver, N. (2023). FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. arXiv:2303.01928.

2022

12/21
Arnaiz-Rodríguez, A., Begga, A., Escolano, F., & Oliver, N. (2022). DiffWire: Inductive Graph Rewiring via the Lovász Bound. Proceedings of the First Learning on Graphs Conference, PMLR, 198, 15:1-15:27.
01/31
Olivares Gil, A., Arnaiz Rodríguez, A., Ramírez Sanz, J. M., Garrido Labrador, J. L., Ahedo García, V., García Osorio, C., Santos Martín, J. I., & Galán Ordax, J. M. (2022). Mapping the scientific structure of organization and management of enterprises using complex networks. International Journal of Production Management and Engineering, 10(1), 65-76.