Reports on the 2018 AAAI Spring Symposium Series

  • Christopher Amato Northeastern University
  • Haitham Bou Ammar PROWLER.io
  • Elizabeth Churchill Google
  • Erez Karpas Technion - Israel Institute of Technology
  • Takashi Kido Stanford University
  • Mike Kuniavsky Parc
  • W. F. Lawless Paine College
  • Francesca Rossi IBM T. J. Watson Research Center and University of Padova
  • Frans A. Oliehoek TU Delft
  • Stephen Russell US Army Research Laboratory
  • Keiki Takadama University of Electro-Communications
  • Siddharth Srivastava Arizona State University
  • Karl Tuyls Google DeepMind
  • Philip Van Allen Art Center College of Design
  • K. Brent Venable Tulane University and IHMC
  • Peter Vrancx PROWLER.io
  • Shiqi Zhang Cleveland State University

Abstract

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, presented the 2018 Spring Symposium Series, held Monday through Wednesday, March 26–28, 2018, on the campus of Stanford University. The seven symposia held were AI and Society: Ethics, Safety and Trustworthiness in Intelligent Agents; Artificial Intelligence for the Internet of Everything; Beyond Machine Intelligence: Understanding Cognitive Bias and Humanity for Well-Being AI; Data Efficient Reinforcement Learning; The Design of the User Experience for Artificial Intelligence (the UX of AI); Integrated Representation, Reasoning, and Learning in Robotics; Learning, Inference, and Control of Multi-Agent Systems. This report, compiled from organizers of the symposia, summarizes the research of five of the symposia that took place.

Published
2018-12-01
How to Cite
Amato, C., Ammar, H. B., Churchill, E., Karpas, E., Kido, T., Kuniavsky, M., Lawless, W. F., Rossi, F., Oliehoek, F. A., Russell, S., Takadama, K., Srivastava, S., Tuyls, K., Van Allen, P., Venable, K. B., Vrancx, P., & Zhang, S. (2018). Reports on the 2018 AAAI Spring Symposium Series. AI Magazine, 39(4), 29-35. https://doi.org/10.1609/aimag.v39i4.2824
Section
Symposium Reports