What are the upcoming challenges for AI-assisted creativity

Thursday 24th August 17:15-18:30
Moderator: F. Amilcar Cardoso, University of Coimbra


Carlos Cancino-Chacón, Johannes Kepler University

Carlos Cancino-Chacón is an Assistant Professor at the Institute of Computational Perception, Johannes Kepler University, Linz, Austria. He has previously been a Guest Researcher at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Norway and a Postdoctoral Researcher at the Austrian Research Institute for Artificial Intelligence. His research focuses on applying artificial intelligence and machine learning to studying expressive music performance, musical human-computer interaction, music cognition, and music theory. He received a doctoral degree in Computer Science at the Institute of Computational Perception of the Johannes Kepler University Linz, a masters degree in Electrical Engineering and Audio Engineering from the Graz University of Technology, an undergraduate degree in Physics from the National Autonomous University of Mexico, and an undergraduate degree in Piano Performance from the National Conservatory of Music of Mexico.

Celia Cintas, IBM Research Africa

Celia Cintas is a Research Scientist at IBM Research Africa – Nairobi. She is a member of the AI Science team at the Kenya Lab.  Her current research explores subset scanning for anomalous pattern detection under generative models; she is also interested in robustness and fairness in deep learning models. Previously, grantee from the National Scientific and Technical Research Council (CONICET), working on Deep Learning for populations studies at LCI-UNS and IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA).  During her Ph.D., she was a visitor student at the University College of London (UK). She was also a Postdoc researcher visitor at Jaén University (Spain), applying ML to Heritage and Archeological studies.  She holds a Ph.D. in Computer Science from Universidad del Sur (Argentina). https://celiacintas.io/.

Jivko Sinapov, Tufts University

Jivko Sinapov is an assistant professor in Computer Science at Tufts University where he leads the Multimodal Learning, Interaction, and Perception (MuLIP) lab (https://mulip.cs.tufts.edu). He received his Ph.D. in computer science and human-computer interaction at Iowa State University in 2013 and subsequently worked as a postdoctoral associate at UT Austin prior to joining Tufts in 2017. His research interests include cognitive and developmental robotics, creative problem solving, human-robot interaction, and reinforcement learning. Jivko received the NSF CAREER award in 2023 and is also the recipient of the Tufts ROUTE award for undergraduate research advising in 2022.

Philippe Pasquier, Simon Fraser University

Philippe Pasquier is a professor at Simon Fraser University’s School of Interactive Arts and Technology, where he directs the Metacreation Lab for Creative AI. He leads a research-creation program around generative systems for creative tasks. As such, he is a scientist specialized in artificial intelligence since 1999, a software designer, a multidisciplinary media artist, an educator, and a community builder. Pursuing a multidisciplinary research-creation program, his contributions bridge fundamental research on generative systems, machine learning, affective computing, and computer-assisted creativity, with applied research in the creative software industry, and artistic practice in interactive and generative art.