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10001 engineer friends

My 16 friends from the University of Zaragoza and I have written a wonderful (and successful!) story for children to learn about our lives as women engineers. You can find more information and purchase the book at Unizar press or Amazon.

Synocene – beyond the Anthropocene

I feel extremely honoured to be the scientific side of the SciArt project SYNOCENE conceived by outstanding artists Marina Wainer and Sam Nester, and also in collaboration with my colleague Lucía Iglesias from European Commission’s DG Environment. SYNOCENE is a 360 degree involving sound installation where the voices of humans, artificial intelligence and nature co-exist exploring a decentered view of our anthropocentric experience of the natural world.

A Forest

I was lucky to collaborate with the wonderful artist Max de Esteban on his brilliant work entitled A Forest, which is part of the permanent collection of the Museum of Contemporary Art of Barcelona (MACBA). In the artwork below, the artist politely asks a deep neural network for a selfie, even though -as an algorithm- it has no self. Will explainable AI help to bridge this gap between machines and human beings?

publications

DemogPairs: quantifying the impact of demographic imbalance in deep face recognition

Published in IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG 2019), 2019

In this paper we present DemogPairs, a publicly released validation dataset with 10.8K facial images and 58.3M identity verification pairs, distributed in demographically-balanced folds of Asian, Black and White females and males. DemogPairs and its associated benchmarking protocol are conceived to explore demographic biases and the cross-demographic behaviour of face recognition algorithms. More information on how to obtain DemogPairs here.

Citation: Hupont, I. and Fernández, C., DemogPairs: quantifying the impact of demographic imbalance in deep face recognition, 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019). IEEE, 2019. https://ieeexplore.ieee.org/abstract/document/8756625

The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems

Published in Nature Scientific Reports, 2022

This article presents the landscape of facial processing tasks, systems and applications. It identifies the 60 most relevant applications adopted for real-world uses, which are analysed under the lens of the European AI Act proposal and the 7 requirements for Trustworthy AI defined by the European High Level Expert Group on AI. It also reflects on current research, technical and societal challenges towards trustworthy facial processing systems.

Citation: Hupont Torres, I., Tolan, S., Gunes, H. and Gomez Gutierrez, E., The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems, Nature Scientific Reports, ISSN 2045-2322, 12(1), 2022. https://www.nature.com/articles/s41598-022-14981-6

Next generation virtual worlds: societal, technological, economic and policy challenges for the EU

Published in Publications Office of the European Union, 2023

This scientific report provides a multidisciplinary and multisectoral perspective on next generation virtual worlds, the opportunities they offer, the challenges they might bring and a techno-economic analysis of current key players.

Citation: Hupont Torres, I., Charisi, V., De Prato, G., Pogorzelska, K., Schade, S., Kotsev, A., Sobolewski, M., Duch Brown, N., Calza, E., Dunker, C., Di Girolamo, F., Bellia, M., Hledik, J., Nai Fovino, I. and Vespe, M., Next Generation Virtual Worlds: Societal, Technological, Economic and Policy Challenges for the EU, Publications Office of the European Union, Luxembourg, 2023, doi:10.2760/51579, JRC133757. https://publications.jrc.ec.europa.eu/repository/handle/JRC133757

talks