Talks

[Conference Intellectual Disabilities] AI for Social Good

On 8 November, Adrian Arnaiz and Erik Derner, researchers at ELLIS Alicante, presented their paper entitled ‘Artificial Intelligence and Human Wellbeing’ at the 5th Conference on Intellectual Disability, organised by the San Rafael Foundation.

[DelveDeepLearning] Graph Neural Networks

3h practical and theoretical lecture about GNNs, as part of the Delve Deep Learning Online course. The course is aimed at professionals, companies and future entrepreneurs-researchers from different sectors of activity.

[Tutorial ICML] Graph Rewiring: From Theory to Applications in Fairness

An ICML Tutorial w/ Ameya Velingker (Google Research) at ICML on Graph Machine Learning. In addition to the foundations, we cover challenges in expressiveness and generalizability, and understanding and addressing under-reaching, over-smoothing, over-squashing, and graph rewiring techniques. We moderate a aanel discussion with Michael Bronstein, Bryan Perozzi and Christopher Morris and more panelistabout future steps in GNNs.

[TrustLoG @ WWW Conference] Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance

Presentaiton of the paper "Structural Group Unfairness Measurement and Mitigation by means of the Effective Resistance" at the 2nd Workshop on Trustworthy Learning on Graphs (TrustLOG) at the Web Conference (WWW) 2024.

[University of Notre Dame (USA)] Guest Lecture.

Guest Lecture at the University of Notre Dame (USA) on the course on thics of Data Analytics and AI, imparted by Georgina Curto, member of the Notre Dame-IBM Tech Ethics Lab. The lecture covered the foundamental aspects of polarization in social networks and how different people's information access lead to structural group unfairness

[Algorithmic Societies, CCCB] Algorithmic Discrimination

International seminar coorganised by the CCCB and the ERC project Algorithmic Societies about the AI social impacts. I gave a talk and participated on a round table about the role of AI on discrimination. I participated with Thao Phan (Monash University), Scott Wark (University of Kent), Rocco Bellanova (Free University of Brussels), Carlos Castillo (ICREA-Pompeu Fabra University) and Piera Riccio (ELLIS Alicante(). Moderated by Jordi Pérez Colomé (El Pais)

[Chamber of Commerce] Round table about Sustainable AI

I participated on a round table about the role of AI to be more sustainable. I participated with Jose Fuster (Director of European Funds and Sustainability of Bank Sabadell) and Antonio Sánchez (President of AlicanTec)

[ELLIS-DMMLab (CMU) Workshop] Technical challenges of Algorithmic Fairness

30 min technical talk aimed to researchers from Carnegie Mellon University from DDMLab. I presented the technical challenged from algorithmic challenges in data-centric interpretable approahces, Graph Fairness and long-term effects and feedback loops.

[European Parliament - JURI Committee on Legal Affairs] Societal Challenges of Algorithmic Fairness

The European Parliament sent to ELLIS Alicante their JURI Committee on Legal Affairs, which are responsables of the AI regulation in Europe (AI Act). I presented the current Challenges of Algorithmic discrimiation in AI, getting close technical, social and legal concepts in the same presentation. We then discussed the current gaps between technicians and regulators to overcome the current limitations of AI regulation.

[SpainAI] Algorithmic Fairness in Artificial Intelligence (Spanish)

A high level introduction about ethics in Artificial Intelligence, why does discrimination occurs and how to solve it using AI [Scientific Dissemination talk].