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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

CCC


Tags

AI, artificial inte, learning, robotics

Overview

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
Agenda

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
BO-2) Deeper Learning for Challenging Tasks
BO-3) Learning that Integrates Continuous and Symbolic Representations
BO-4) Learning in Integrated AI and/or Robot Systems

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
BO-B) Reinvent Business Innovation and Competitiveness
BO-C) Accelerate Scientific Discovery & Technological Innovation
BO-D) Social Justice and Policy
BO-E) Transform Cyber Defense and Security

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
Participants

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

Organizers
  Workshop Chairs:
Fei-Fei Li, Stanford University invisible
Gil
Thomas Dietterich, Oregon State University
Selman
   AI Roadmap Chairs:
Yolanda Gil, University of Southern California
Gil
Bart Selman, Cornell UniversityIt’s invisible
Selman
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