Artificial Intelligence Roadmap Workshop 3 – Self Aware Learning
January 17-18, 2019
JW Marriott San Francisco Union Square
JW Marriott San Francisco Union Square, Mason Street, San Francisco, CA, USA
Event Contact
Ann Drobnis
adrobnis@cra.org
2022662936
Event Type
2019 Events, 2019 Visioning Activities
Event Category
Tags
A 20-Year Community Roadmap for Artificial Intelligence Research in the US
This is the Executive Summary of the community report. The full report is due out for public comment by the end of March 2019.
Given the increasingly pervasive use of AI technologies in all sectors of industry and government, and the enormous potential for future AI-based technologies, the Computing Community Consortium, in working with the NSF, is sponsoring an AI Roadmap to help prioritize research investments. This initiative is analogous to the Robotics Roadmap that, ten years ago, led to the National Robotics Initiative, a multi-agency, multi-year investment by the federal government. NSF has pledged to increase its investments in AI and DARPA has already announced a $2B multi-year investment in AI research. Additional significant investments are under discussion at multiple federal agencies.
We believe strongly that the time is right for the AI community to articulate our collective vision for the future of AI research. The focus of the AI Roadmap will be on long-term research opportunities and potential investments, ten years out and beyond.
The AI Roadmap initiative is being chaired by Yolanda Gil (USC) and Bart Selman (Cornell). Three workshops are planned, with approximately 30 researchers attending each workshop. The theme of this third workshop is Self Aware Learning and it will take place on January 17-18 in San Francisco, CA. The chairs of the Self Aware Learning workshop are Fei-Fei Li (Stanford University) and Thomas G. Dietterich (Oregon State University).
The Workshop on Self Aware Learning was the third workshop in the series. The objective is to sketch an agenda for developing the most promising AI approaches that can lead to advancements in learning, looking at deeper learning, integrated statistical learning and symbolic representations, and diversified learning modalities.
Please submit ideas and feedback to cccinfo@cra.org
Interested in learning more and being involved? Subscribe for announcements here.
Other workshops in the AI Roadmap series:
- Workshop 1 – Integrated Intelligence
- Workshop 2- Interaction
January 17, 2019 (Thursday)
08:00 AM | Breakfast Available | Metropolitan B |
09:00 AM | Overview by Chains | Metropolitan A |
10:30 AM | BREAK | Outside Metropolitan A |
10:50 AM | Breakout 1: Technical Areas
| Metropolitan A, Salon I, and Salon II BO-1) Robust and Trustworthy Learning |
12:30 PM | Break and Get Lunch | Metropolitan B |
12:45 PM | Break Out Reports Over Lunch | Metropolitan A |
01:30 PM | Discussion | Metropolitan A |
02:00 PM | BREAK | Outside Metropolitan A |
02:15 PM | Breakout 2 - Societal Drivers
| Metropolitan A, Salon I, and Salon II BO-A) Boost Health and Quality of Life |
04:15 PM | Breakout Reports | Metropolitan A |
05:00 PM | Discussion and Reflections | Metropolitan A |
07:00 PM | Working Dinner | Skyline B |
January 18, 2019 (Friday)
07:30 AM | Breakfast Available | Metropolitan B |
08:30 AM | Plenary Discussion of Decisions Made Yesterday | Metropolitan A |
09:30 AM | Breakouts | Metropolitan A, Salon I, and Salon II |
11:00 AM | BREAK | Outside Metropolitan A |
11:30 AM | Discuss Larger AI Questions | Metropolitan A |
12:30 PM | Working Lunch | Metropolitan B |
01:30 PM | Work on 1-page Reports | Metropolitan A |
02:00 PM | Continue Working on Report to Prepare for AAAI Town Hall | Metropolitan A |
Elias Barenboim, Purdue
Tamara Berg, UNC
Debadeepta Dey, MSR
Tom Dietterich, Oregon State University
Finale Doshi-Velez, Harvard
Khari Douglas, CCC
Doug Downey, Northwestern
Dieter Fox, UW/NVIDIA
Emily Fox, UW/Apple
Dileep George, Vicarious Systems
Yolanda Gil, USC
Noah Goodman, Stanford
Kristen Grauman, UT Austin
Peter Harsha, CRA
Chad Jenkins, Michigan
Michael Jordan, Berkeley
Been Kim, Google
Vipin Kumar, UMN
Fei-Fei Li, Stanford
Yan Liu, USC
Dan Lopresti, Lehigh
Jitendra Malik, Berkeley
Maja Mataric, USC
Cynthia Matuszek, UMBC
Ray Mooney, UT Austin
Catherine Olsson, Google
Scott Niekum, UT Austin
Devi Parikh, Georgia Tech
Brian Scasselatti, Yale
Bart Selman, Cornell
Reid Simmons, CMU
Stefanie Tellex, Brown
Javona White Bear, MIT LL
Helen Wright, CCC
Workshop Chairs:
Fei-Fei Li, Stanford University invisible |
Thomas Dietterich, Oregon State University |
AI Roadmap Chairs:
Yolanda Gil, University of Southern California |
Bart Selman, Cornell UniversityIt’s invisible |