In this seminar I will provide an overview of the work of HUMAINT (Human Behaviour and Machine Intelligence), an interdisciplinary research project carried out at the European Commission’s Joint Research Centre. The goal of the project is to study the impact of Artificial Intelligence (AI) on human behaviour, and aims to provide evidence-based scientific support to the European policymaking process in this field, notably the AI Act. I will present the EU AI policy context, project approach and outcomes, focusing on four core applications (facial processing, automated driving, child-AI interaction and music recommendation) and connected to practical methodologies for fairness, diversity, transparency and human oversight.
Watch the complete seminar replay below and read our recap here!
Hupont, I., Tolan, S., Gunes, H. and Gómez, E. The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems. Sci Rep 12, 10688 (2022). https://doi.org/10.1038/s41598-022-14981-6
Fernández Llorca, D., Gomez, E., Trustworthy Autonomous Vehicles, EUR 30942 EN, Publications Office of the European Union, Luxembourg, 2021, ISBN 978-92-76-46055-8, doi:10.2760/120385, JRC127051.
Charisi, V., Chaudron, S., Di Gioia, R., Vuorikari, R., Escobar Planas, M., Sanchez-Martin, J.I, Gómez, E. (2022), Artificial Intelligence and the Rights of the Child: Towards an Integrated Agenda for Research and Policy, No JRC127564, JRC Research Reports, Joint Research Centre. https://ai-watch.ec.europa.eu/publications/artificial-intelligence-and-rights-child-towards-integrated-agenda-research-and-policy_en
Porcaro, L., Castillo, C. and Gómez, E., 2021. Diversity by Design in Music Recommender Systems. Transactions of the International Society for Music Information Retrieval, 4(1), pp.114–126. DOI: http://doi.org/10.5334/tismir.106
Emilia Gómez (https://emiliagomez.com) holds BSc and MSc degrees in Electrical Engineering and a PhD degree in Computer Science. She is a principal investigator on Human and Machine Intelligence (HUMAINT) at the Joint Research Centre (JRC), European Commission. She is also a guest professor at the Music Technology Group, Universitat Pompeu Fabra, Barcelona. Her research is grounded in the Music Information Retrieval field, where she has developed data-driven technologies to support music listening experiences. Starting from music, she studies the impact of algorithmic systems on human decision making, cognitive and socio-emotional development. Her research interests include fairness and transparency in AI, the impact of AI on jobs, and how it affects children development. She is currently a member of the OECD One AI expert group, the Spanish National Council for AI, and part of the research team at the JRC providing evidence-based scientific support to AI EU policy initiatives, notably the AI Act and the Digital Services Act.