Emilia Gómez
TL;DR Emilia Gómez is a leading researcher in AI and music technology whose work advances trustworthy AI, algorithmic transparency, and the responsible use of machine learning in society.
Emilia Gómez is a prominent scientist working at the intersection of artificial intelligence, music technology, and ethical AI governance. Her research explores how intelligent systems perceive, classify, and generate sound while ensuring that these technologies are developed responsibly and transparently. She is widely recognized for her leadership in European AI policy, her contributions to trustworthy machine learning, and her efforts to integrate human values into emerging technologies.
Emilia Gómez is the scientific coordinator of the Human Observations project at the European Commission’s Joint Research Centre, where she leads research on trustworthy and human-centered AI. Her work focuses on evaluating AI systems for fairness, bias, transparency, and societal impact. She plays a key role in shaping how AI is assessed and governed across Europe.
Before joining the European Commission, Emilia built a distinguished academic career in music information retrieval. Her research involved understanding how computers can analyze and interpret musical structures, timbre, and emotional content. This early work helped establish her as one of the leading figures in computational musicology and audio-based machine learning.
Her career now spans technical AI research, interdisciplinary science, and public policy. She is known for bridging the gap between cutting-edge machine learning and real-world ethical challenges, helping ensure AI systems are deployed in ways that respect people and cultures.
Scientific coordinator at the European Commission Joint Research Centre, leading research on trustworthy and human-centered AI
Pioneering contributions to music information retrieval and computational analysis of sound
Major work on fairness, transparency, and bias evaluation in machine learning systems
Influential role in shaping European approaches to AI governance and assessment
Interdisciplinary research spanning audio processing, ethics, and societal impact
Recognized leader in responsible AI, bridging technical innovation with public policy
