Dr. Emilia Gómez (MSc. Telecommunication Engineering, PhD in Computer Science) joined the JRC in 2018. She leads the Human Behaviour and Machine Intelligence (HUMAINT) team, providing technical and scientific support to EU AI policies, notably the AI Act and the Digital Services Act, as part of the European Centre for Algorithmic Transparency. She is also a guest professor at Universitat Pompeu Fabra in Barcelona and has a long academic experience in the fields of Music Information Retrieval and Human-Centric Machine Learning.
She was the 1st female president of the International Society for Music Information Retrieval, is a member of the OECD One AI expert group, an ELLIS fellow, and her work has been recognized by means of citations and honors, e.g. EUWomen4Future, Red Cross Award to Humanitarian Technologies or ICREA Academia.
Links:
Selected publications:
I. Hupont, S. Tolan, P. Frau, L. Porcaro and E. Gómez (2023). Measuring and fostering diversity in Affective Computing research. In: IEEE Transactions on Affective Computing.
B.L.T. Sturm, M. Iglesias, O. Ben-Tal, M. Miron and E. Gómez (2019). Artificial Intelligence and Music: Open Questions of Copyright Law and Engineering Praxis. In: Arts, 2019, 8(3), 115.
S. Tolan, M. Miron, E. Gómez and C. Castillo (2019). Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia. In: ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, June 2019. pp. 83–92.
M. Schedl, E. Gómez and J. Urbano (2014). Music Information Retrieval: Recent Developments and Applications. In: Foundations and Trends® in Information Retrieval, Vol. 8, No. 2-3, pp 127-261.
Gómez, Emilia (2006). Tonal Description of Polyphonic Audio for Music Content Processing. In: INFORMS Journal on Computing, Volume 18, Issue 3, Summer 2006, pp 294–304.