Overview: National AI R&D Strategic Plan

Similar documents
OVERVIEW OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES. Presented by: WTI

Research Trends in NSF and JST-NSF Collaboration Opportunities

Data and Knowledge as Infrastructure. Chaitan Baru Senior Advisor for Data Science CISE Directorate National Science Foundation

OSTP Sustainability Linkage Activities

A Strategy for UK Research and Innovation

Franco German press release. following the interview between Ministers Le Maire and Altmaier, 18 December.

New Research Paradigms for Technological Innovation

Executive Summary Industry s Responsibility in Promoting Responsible Development and Use:

Nanotechnology Research Directions: IWGN Workshop Report

Cyber-Physical Systems, Power Grid, and Engineering Education NSF Perspective

AI Frontiers. Dr. Dario Gil Vice President IBM Research

NASA Office of the Chief Technologist

The Materials Genome Initiative for Global Competitiveness

Faisal D Souza National Coordination Office Networking and Information Technology Research and Development 215 Eisenhower Avenue Alexandria, VA 22314

9 th AU Private Sector Forum

Science and Technology Policy

Greg Hager, Johns Hopkins University

Chemical-Biological Defense S&T For Homeland Security

April 10, Develop and demonstrate technologies needed to remotely detect the early stages of a proliferant nation=s nuclear weapons program.

Computer & Information Science & Engineering (CISE)

Enabling Science, Technology & Innovation For National Security

December 10, Why HPC? Daniel Lucio.

AFOSR Basic Research Strategy

Developing S&T Strategy. Lesson 1

NCRIS Capability 5.7: Population Health and Clinical Data Linkage

Autonomy Test & Evaluation Verification & Validation (ATEVV) Challenge Area

Digital Government and Digital Public Services

Our position. ICDPPC declaration on ethics and data protection in artificial intelligence

The Evolving Climate for US Science. Federal Demonstration Partnership January 25, 2010

President Barack Obama The White House Washington, DC June 19, Dear Mr. President,

g~:~: P Holdren ~\k, rjj/1~

Advancing the Use of the Digital System Model Taxonomy

The Fourth Industrial Revolution in Major Countries and Its Implications of Korea: U.S., Germany and Japan Cases

Human-Centric Trusted AI for Data-Driven Economy

March 27, The Information Technology Industry Council (ITI) appreciates this opportunity

Report to Congress regarding the Terrorism Information Awareness Program

DG CONNECT Artificial Intelligence activities

Organizing Homeland Security Science and Technology

MSc(CompSc) List of courses offered in

Opening Science & Scholarship

OECD WORK ON ARTIFICIAL INTELLIGENCE

FROM AI TO IA AI: Artificial Intelligence IA: Intelligence Amplification Mieke De Ketelaere, SAS NEMEA

Japan s FinTech Vision

The EPSRC portfolio: Past, present and future

Early Stage Research and Technology at U.S. Federal Government Agencies

Overview of the NSF Programs

The robots are coming, but the humans aren't leaving

Renewing Sociology in the Digital Age

Interagency Working Group on Import Safety. Executive Order July 18, 2007

FMS VC Panel. Session 302-A 8/10/17 Wayne Rickard, Moderator. Flash Memory Summit 2017 Santa Clara, CA 1

Planetary Protection at NASA: Overview and Status

Recommendations for Intelligent Systems Development in Aerospace. Recommendations for Intelligent Systems Development in Aerospace

High Performance Computing Systems and Scalable Networks for. Information Technology. Joint White Paper from the

Foresight for Canadian Animal Health. Shane Renwick DVM MSc Canadian Food Inspection Agency (CFIA)

The Reproducible Research Movement in Statistics

Sparking a New Economy. Canada s Advanced Manufacturing Supercluster

About the National Science and Technology Council. About the Office of Science and Technology Policy. Copyright Information

The Contribution of the Social Sciences to the Energy Challenge

7656/18 CF/MI/nj 1 DG G 3 C

How do you teach AI the value of trust?

National approach to artificial intelligence

AI AND SAFETY: 6 RULES FOR REIMAGINING JOBS IN THE AGE OF SMART MACHINES H. JAMES WILSON MANAGING DIRECTOR, ACCENTURE

S&T Stakeholders Conference

National Policy Implications

Early-Stage Capital for Innovation

Impression and pattern evidence Symposium August 5, 2010

Looking ahead : Technology trends driving business innovation.

Towards Trusted AI Impact on Language Technologies

Enhancing Access to the Radio Spectrum

Non-ferrous metals manufacturing industry: vision for the future and actions needed

Accelerating innovations in science and technology (S&T) are having profound effects on global civilization These developments will have strategic

Research strategy

Proposers Day Workshop

Decentralisation, i.e. Internet for Social Good

OFFICE OF SCIENCE AND TECHNOLOGY POLICY. Critical and Strategic Materials Supply Chains

Artificial Intelligence and Society: the Challenges Ahead Yuko Harayama Executive Member Council for Science, Technology and Innovation (CSTI)

Dr. Cynthia Dion-Schwartz Acting Associate Director, SW and Embedded Systems, Defense Research and Engineering (DDR&E)

Early-stage Capital in the United States:

The 45 Adopted Recommendations under the WIPO Development Agenda

General Assembly. United Nations A/63/411. Information and communication technologies for development. I. Introduction. Report of the Second Committee

The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. Overview April, 2017

Societal engagement in Horizon 2020

GTMI Strategic Planning: Additive Manufacturing with Metals

Research and Innovation Strategy and Action Plan UPDATE Advancing knowledge and transforming lives through education and research

Scott A. Forman. Focus Areas. Overview

Regulating by Robot and Adjudicating by Algorithm:

UKRI Artificial Intelligence Centres for Doctoral Training: Priority Area Descriptions

The Industrial Strategy Challenge Fund

Future of New Capabilities

Enabling Greater Research Achievements by Transforming the Inception Phase

Framework Programme 7

Trends in Technology and Digital Security

Our digital future. SEPA online. Facilitating effective engagement. Enabling business excellence. Sharing environmental information

DoD Information Enterprise Strategic Plan and Roadmap

AN ENABLING FOUNDATION FOR NASA S EARTH AND SPACE SCIENCE MISSIONS

Assessment of Smart Machines and Manufacturing Competence Centre (SMACC) Scientific Advisory Board Site Visit April 2018.

Climate Change Innovation and Technology Framework 2017

The Promise and Realities of Additive Manufacturing (3D Printing) in Space Betsy Cantwell, PhD

Machines can learn, but what will we teach them? Geraldine Magarey

Disrupt or be Disrupted: Research Findings from the CDO Project & Policy Implications

Transcription:

Overview: National AI R&D Strategic Plan Lynne E. Parker, Ph.D. Division Director, Information and Intelligent Systems Computer and Information Science and Engineering Directorate National Science Foundation Email: lyparker@nsf.gov November 2016 1

National AI R&D Strategic Plan Prepared by: THE NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN National Science and Technology Council Networking and Information Technology Research and Development Subcommittee October 2016 White House Office of Science and Technology Policy (OSTP) National Science and Technology Council (NSTC) o Networking and Information Technology Research and Development Subcommittee (NITRD) Ø Task Force on AI Developed: June-September 2016 Released: October 2016 2

NITRD Task Force on AI Co-Chair Lynne Parker Division Director Information and Intelligent Systems National Science Foundation Milton Corn National Institutes of Health William Ford National Institute of Justice Michael Garris National Institute of Standards and Technology Steven Knox National Security Agency John Launchbury Defense Advanced Research Projects Agency Richard Linderman Office of the Secretary of Defense Co-Chair Jason Matheny Director Intelligence Advanced Research Projects Activity Nikunj Oza National Aeronautics and Space Administration Robinson Pino Department of Energy Gregory Shannon Office of Science and Technology Policy Scott Tousley Department of Homeland Security Faisal D Souza, Technical Coordinator National Coordination Office for Networking and Information Technology Research and Development With agency input/approval from: NSF, NIH, DoD, DARPA, OSD, NIST, DOE, NASA, DHS, NSA, IARPA, DOT, EPA, NIJ, FBI, ODNI 3

National AI R&D Strategic Plan Looks beyond near-term AI capabilities toward longer-term transformational impacts Federal government: primary source of funding for long-term, high-risk research initiatives, and near-term research for agency-specific requirements that industry does not pursue emphasize AI investments in areas of strong societal importance that are not aimed at consumer markets areas such as long-term research that accelerates the production of AI knowledge and technologies. 4

Emphasizes Impacts on National Priorities Increased economic prosperity: Manufacturing Logistics Finance Transportation Agriculture Marketing Communications Science and Technology Enhanced national and homeland security: Security and law enforcement Safety and prediction Improved educational opportunity and quality of life: Education Medicine Law Personal services 5

Organization of the AI R&D Strategic Plan 6

Strategy 1: Make Long-Term Investments in AI Research Data-focused methodologies for knowledge discovery Perceptual capabilities of AI systems Understanding theoretical capabilities, limitations General-purpose AI Scalable AI systems Human-like AI More capable and reliable robots Hardware for improved AI AI for improved hardware 7

Strategy 2: Effective Methods for Human-AI Collaboration New algorithms for human-aware AI AI techniques for human augmentation Visualization and AI-human interfaces More effective language processing systems 8

AI R&D Strategic Plan: Strategies 3 & 4 3: Ethical, Legal, Societal Implications Fairness, transparency, and accountability-by-design Ethical AI 4: Safety and Security of AI Systems Explainability and transparency Building trust Verification and validation Securing against attacks 9

AI R&D Strategic Plan: Strategies 5-7 Strategy 5: Develop Shared Public Datasets and Environments for AI Training and Testing Strategy 6: Measure and Evaluate AI Technologies through Standards and Benchmarks Strategy 7: Better Understand the National AI R&D Workforce Needs Computational Resources Software Data 10

AI R&D Strategic Plan: Recommendations Recommendation 1: Develop an AI R&D implementation framework to identify S&T opportunities and support effective coordination of AI R&D investments, consistent with Strategies 1-6 of the plan. Recommendation 2: Study the national landscape for creating and sustaining a healthy AI R&D workforce, consistent with Strategy 7 of the plan. 11

Next Steps? (Perhaps) Develop NITRD Inter-Agency Working Group on AI Coordinate AI investments across Federal agencies Develop future areas for priority funding Future initiatives?? https://www.nitrd.gov/pubs/national_ai_ rd_strategic_plan.pdf THE NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN National Science and Technology Council Networking and Information Technology Research and Development Subcommittee October 2016 12