Presidential Address: The State of AI


Bart Selman

Red Plenary Room, Blue Plenary Room
Abstract: We are witnessing a highly accelerated phase of progress in AI, largely due to the deep learning revolution. This revolution is also reunifying our field, with researchers building bridges across different research areas, such as computer vision, natural language understanding, and decision making. In this work, we see significant progress on the big questions that have challenged our field since its inception. I will review the current state of AI and outline challenges that need to be addressed to develop genuinely robust and reliable AI systems. I postulate that the next level of AI will require an integration of the highly successful data-driven paradigm with a knowledge-driven approach coupled with human feedback for human-aligned intelligent systems.
Bart Selman is the Joseph C. Ford Professor of Engineering and Computer Science at Cornell University. Prof. Selman is President of the Association for the Advancement of Artificial Intelligence (AAAI), the main international professional society for AI researchers and practitioners. He was also the co-Chair of a national study to develop a 20-year Roadmap for AI research to guide US government research investments in AI. The Roadmap incorporates input from over 100 leading AI researchers. Prof. Selman was previously at AT&T Bell Laboratories. His research interests include artificial intelligence, computational sustainability, efficient reasoning procedures, machine learning, deep learning, deep reinforcement learning, planning, knowledge representation, and connections between computer science and statistical physics. He has (co-)authored over 150 publications, including six best paper awards and two classic paper awards. His papers have appeared in venues spanning Nature, Science, Proc. Natl. Acad. of Sci., and a variety of conferences and journals in AI and Computer Science. He is a Fellow of the American Association for Artificial Intelligence (AAAI), a Fellow of the American Association for the Advancement of Science (AAAS), and a Fellow of the American Association for Computing Machinery (ACM). He is the recipient of the Inaugural IJCAI John McCarthy Research Award.