Amato, Christopher (University of New Hampshire) | Amir, Ofra (Harvard University) | Bryson, Joanna (University of Bath) | Grosz, Barbara (Harvard University) | Indurkhya, Bipin (Jagiellonian University) | Kiciman, Emre (Microsoft Research) | Kido, Takashi (Rikengenesis) | Lawless, W. F. (Massachusetts Institute of Technology) | Liu, Miao (University of Southern California) | McDorman, Braden (Semio) | Mead, Ross (University of Amsterdam) | Oliehoek, Frans A. (University of Pennsylvania) | Specian, Andrew (American University in Paris) | Stojanov, Georgi (University of Electro-Communications) | Takadama, Keiki
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.
Grosz, Barbara (Harvard University)
In 1950, when Turing proposed to replace the question "Can machines think?" computer science was not yet a field of study, Shannon's theory of information had just begun to change the way people thought about communication, and psychology was only starting to look beyond behaviorism. In the decades since that paper appeared, with its inspiring challenges, research in computer science, neuroscience, and the behavioral sciences has radically changed thinking about mental processes and communication, and the ways in which people use computers has evolved even more dramatically. This paper considers what that might be in light of Turing's paper and advances in the decades since it was written.
Grosz, Barbara, Davis, Randall
This report stems from an April 1994 meeting, organized by AAAI at the suggestion of Steve Cross and Gio Wiederhold.1 The purpose of the meeting was to assist ARPA in defining an agenda for foundational AI research. Prior to the meeting, the fellows and officers of AAAI, as well as the report committee members, were asked to recommend areas in which major research thrusts could yield significant scientific gain -- with high potential impact on DOD applications -- over the next ten years. At the meeting, these suggestions and their relevance to current national needs and challenges in computing were discussed and debated. An initial draft of this report was circulated to the fellows and officers.