Serge Belongie is a professor of Computer Science at the University of Copenhagen, where he also serves as the head of the Pioneer Centre for Artificial Intelligence. Previously, he was a professor of Computer Science at Cornell University, an Associate Dean at Cornell Tech, and a member of the Visiting Faculty program at Google. His research interests include Computer Vision, Machine Learning, Augmented Reality, and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona, Anchovi Labs, and Orpix. He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review “Innovators Under 35” Award, and the Helmholtz Prize for fundamental contributions in Computer Vision.

Sophia Ananiadou is Professor in Computer Science at the University of Manchester. She gained her PhD from UMIST in the area of natural language processing. Her research is interdisciplinary and her main contributions are in biomedical text mining and NLP. She is also the Director of the National Centre for Text Mining (since 2005), providing tools, resources, systems and infrastructure for biomedicine. She has had several projects in areas such as reconstruction of biological pathways using text mining, information extraction from the literature, the development of methods for the automation of systematic reviews and semantic search systems. She has applied her research mostly in systems biology, medicine, public health, biodiversity and chemistry.

Pierre Baldi is a Distinguished Professor in the Department of Computer Science, Director of the Institute for Genomics and Bioinformatics, and Associated Director of the Center for Machine Learning and Intelligent Systems at the University of California, Irvine. Baldi holds a Ph.D. in mathematics from the California Institute of Technology, and he is a leader in the fields of artificial intelligence and machine learning. He has used these approaches for applications in physics, chemistry, and biology. Baldi's innovative research has been recognized by several awards, including the Lew Allen Research Award and the Microsoft Faculty Research Award. He has published numerous high-impact papers, and he has authored four books that span topics from genomics and bioinformatics, to data mining and the internet.

Marina Marie-Claire Höhne née Vidovic received her masters degree in Technomathematics from the Technical University of Berlin in 2012. Afterwards she worked as a researcher at Ottobock in Vienna, Austria, on time series data and domain adaptation for controlling prosthetic devices. In 2014 she started her PhD on explainable AI and received the Dr. rer. nat. degree from the Technical University of Berlin in 2017. After one year maternal leave, she continued working at the machine learning chair at TU Berlin as a postdoctoral researcher.

In 2020 she started her own research group UMI Lab (twitter, website) dealing with explainable artificial intelligence at the Technical University of Berlin. Moreover, since 2021 she is a junior fellow at the Berlin Institute for Foundations of Learning and Data and a fellow of the ProFiL excellence program.

Since 2021 she has a secondary employment as Associate Professor at the Arctic University of Norway.