Keynote Speakers
Bio: Nava Tintarev is a Full Professor in Explainable AI at Maastricht University, based in the Department of Advanced Computing Sciences (DACS). Her research interests focus on human-computer interaction in artificial advice-giving systems, specifically recommender systems, with a special focus on developing state-of-the-art methods for automatically generated explanations (transparency) and explanation interfaces regarding recourse and control. She was a founding Co-Investigator in the ROBUST consortium, a long-term initiative dedicated to research into trustworthy artificial intelligence. Currently, she is a co-lab director of the ICAI TAIM lab, working on trustworthy media in collaboration with UvA and RTL. Her research has been supported by funders such as the European Commission, IBM, and Twitter. She is a Senior ACM member, Chair of the round table for informatics, and a board member of the ICT-Research Platform Netherlands (IPN).
Bio: Ranjitha Kumar is an Associate Professor in the Siebel School of Computing and Data Science and (by courtesy) the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. She leads the Data Driven Design Group, where her research focuses on the intersection of machine learning and effective user experiences. She also serves as the Director of the Innovation Leadership and Engineering Entrepreneurship (ILEE) Program in the Grainger College of Engineering.
In addition to her academic leadership, she is the Chief Scientist at UserTesting. Since 2019, she has guided the company’s AI-product strategy, working to bridge quantitative and qualitative experience testing. She received her B.S. and Ph.D. from the Department of Computer Science at Stanford University. Based on her dissertation work, she co-founded Apropose, a data-driven design startup backed by top Silicon Valley venture capital firms.