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Odd Erik Gundersen (PhD, Norwegian University of Science and Technology) is an adjunct associate professor at
the Norwegian University of Science and Technology
(NTNU) in Trondheim, Norway, where he teaches courses
and supervises master students in AI. Gundersen has
applied AI in the industry, mostly for startups, since 2006.
Currently, he investigates how AI can be applied in the
renewable energy sector and for driver training.
Yolanda Gil (PhD, Carnegie Mellon University) is director
of knowledge technologies and an associate division director at the Information Sciences Institute of the University of
Southern California, and a research professor in computer
science and in spatial sciences. Her research is on intelligent
interfaces for knowledge capture and discovery, semantic
workflows and metadata capture, social knowledge collection, computer-mediated collaboration, and automated discovery. Gil has served on the Advisory Committee of the
Computer Science and Engineering Directorate of the
National Science Foundation. She initiated and chaired the
W3C Provenance Group that led to a community standard
in this area. Gil is also a Fellow of AAAI and was elected as
its 24th president in 2016.
David W. Aha (PhD, University of California, Irvine) leads
a section within NRL’s Navy Center for Applied Research in
AI, in Washington, DC. In addition to encouraging reproducible research, his interests include mixed-initiative intelligent agents, deliberative autonomy, explainable AI, case-based reasoning, and machine learning. He has
co-organized many events on these topics, launched the
UCI Repository for ML Databases, served as an AAAI councilor, cocreated AAAI’s AI Video Competition, and currently leads the evaluation team for DARPA’s Explainable AI program.
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