Artificial Intelligence Working Group

Chairs: TBD

Current Members:

Elizabeth Bradley

Elizabeth Bradley

CCC Vice Chair
University of Colorado Boulder

Bio

Elizabeth Bradley Website


Liz Bradley received the S.B., S.M., and Ph.D. degrees from the Massachusetts Institute of Technology in 1983, 1986, and 1992, respectively, including a one-year leave of absence to compete in the 1988 Olympic Games. She has been with the Department of Computer Science at the University of Colorado at Boulder since January of 1993; she also holds appointments and affiliations with a variety of engineering departments. Her current research activities focus on nonlinear dynamics and chaos, as well as scientific computation and AI. She is a member of Eta Kappa Nu, Tau Beta Pi, and Sigma Xi, as well as the recipient of a National Young Investigator award, a Packard Fellowship, and the 1999 College of Engineering teaching award.

David Parkes

David Parkes

Harvard University

Bio

David Parkes   Website


David C. Parkes is the George F. Colony Professor of Computer Science in the Paulson School of Engineering and Applied Sciences at Harvard University, where he founded the EconCS research group and leads research with a focus on artificial intelligence, machine learning, and economics. He is co-director of the Harvard University Data Science Initiative, a faculty co-lead for planning the expansion of the Paulson school into the Allston campus, and was Area Dean for Computer Science, 2013-2017. Parkes served on the inaugural panel of the “Stanford 100 Year Study on Artificial Intelligence,” co-organized the 2016 OSTP Workshop on “AI for Social Good,” and served as chair of the ACM Special Interest Group on Electronic Commerce (2011-16). Parkes is Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and recipient of the 2017 ACM/SIGAI Autonomous Agents Research Award, the NSF Career Award, the Alfred P. Sloan Fellowship, the Thouron Scholarship, and the Roslyn Abramson Award for Teaching. Parkes has degrees from the University of Oxford and the University of Pennsylvania, serves on several international scientific advisory boards, and is a technical advisor to a number of start-ups.

Maria GiniMaria Gini
University of Minnesota

Bio

Maria Gini Website


Maria Gini received a degree in physics from the University of Milan in 1972. From 1974-1979 she was a Research Associate and from 1980-1982 a Senior Research Associate in the Department of Electronics in Politecnico of Milano in Italy. She then joined the Department of Computer Science at the University of Minnesota in 1982 as an Assistant Professor. She became the first female to join the department. While there she was promoted to Associate Professor in 1988 and to Professor in 1997. In 2001 Gini received the Distinguished Women Scholars Award from the University of Minnesota.

Since 2005 she has also been Associate Chair of the Department of Computer Science and Engineering. She was named an AAAI fellow in 2008 “for significant contributions to coordination and competition in multirobot and multiagent systems, for leadership in the AI community, and for inspiring the next generation”. In 2011, she received the Mullen-Spector-Truax Women’s Leadership Award from the University of Minnesota, presented annually to “a faculty or staff woman at the University who has made outstanding contributions to women’s leadership development”. Gini was also named an IEEE fellow in 2018. As of 2019, she has graduated 34 Ph.D students as well as nearly 100 graduate students.

Chad JenkinsChad Jenkins
University of Michigan

Bio

Chad Jenkins Website


Odest Chadwicke Jenkins, Ph.D., is an Associate Professor of Computer Science and Engineering at the University of Michigan. Prof. Jenkins earned his B.S. in Computer Science and Mathematics at Alma College (1996), M.S. in Computer Science at Georgia Tech (1998), and Ph.D. in Computer Science at the University of Southern California (2003). He previously served on the faculty of Brown University in Computer Science (2004-15). His research addresses problems in interactive robotics and human-robot interaction, primarily focused on mobile manipulation, robot perception, and robot learning from demonstration. His research often intersects topics in computer vision, machine learning, and computer animation.

Prof. Jenkins has been recognized as a Sloan Research Fellow in 2009. He is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) for his work in physics-based human tracking from video. His work has also been supported by Young Investigator awards from the Office of Naval Research (ONR) for his research in learning dynamical primitives from human motion, the Air Force Office of Scientific Research (AFOSR) for his work in manifold learning and multi-robot coordination and the National Science Foundation (NSF) for robot learning from multivalued human demonstrations. Prof. Jenkins is a Senior Member of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. He is currently a member of the Defense Science Study Group (2018-19).

MitchellMelanie Mitchell
Portland State University

Bio

Melanie Mitchell   Website


Melanie Mitchell is Professor of Computer Science at Portland State University, and External Professor and Member of the Science Board at the Santa Fe Institute. She attended Brown University, where she majored in mathematics and did research in astronomy, and the University of Michigan, where she received a Ph.D. in computer science, Her dissertation, in collaboration with her advisor Douglas Hofstadter, was the development of Copycat, a computer program that makes analogies. She has held faculty or professional positions at the University of Michigan, the Santa Fe Institute, Los Alamos National Laboratory, the OGI School of Science and Engineering, and Portland State University.

She is the author or editor of five books and over 80 scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her most recent book, Complexity: A Guided Tour (Oxford, 2009), won the 2010 Phi Beta Kappa Science Book Award. It was also named by Amazon.com as one of the ten best science books of 2009, and was longlisted for the Royal Society’s 2010 book prize. Melanie originated the Santa Fe Institute’s Complexity Explorer project, which offers online courses and other educational resources related to the field of complex systems.

The Artificial Intelligence Working Group has led the CCC’s effort to generate an AI Roadmap. Lead by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University), this new effort is in support of the Administrations’ efforts in this area, and will bring together academic and industrial researchers and federal agency representatives to help chart a course for needed research in AI, through a series of workshops in the Fall of 2018, resulting in a Roadmap to be produced in the Spring of 2019. The National Science Foundation (NSF) Directorate for Computing and Information Science and Engineering (CISE) is supporting the effort, and Henry Kautz, Division Director for Intelligent Intelligent Information Systems is helping to coordinate the effort with the CCC. This effort is similar to one of the CCC’s first activities, the Robotics Roadmap, which helped to launch the National Robotics Initiative in 2011 and the subsequent 2016 Robotics Roadmap and NRI 2.0.

Three workshops were held and you can learn more about each workshop on their respective webpages linked below or the Roadmap webpage.

A draft report was released for comment in May and the final report will be released soon. You can read the draft report below:

AI Research Roadmap Draft (May 13, 2019 version)

Here is a link to the whole report (117 pages).

Here are links to individual sections:

     Title Page, Executive Summary, and Table of Contents (7 pages)

  1. Introduction (5 pages)
  2. Major Societal Drivers for Future Artificial Intelligence Research (4 pages)
  3. Overview of Core Technical Areas of AI Research Roadmap: Workshop Reports (72 pages)

    1. Workshop I: A Research Roadmap for Integrated Intelligence (19 pages)
    2. Workshop II: A Research Roadmap for Meaningful Interaction (27 pages)
    3. Workshop III: A Research Roadmap for Self-Aware Learning (26 pages)
  4. Major Findings (4 pages)
  5. Recommendations (22 pages)
  6. Conclusions (1 page)
  7. Appendices (participants and contributors) (2 pages)
Artificial Intelligence Videos:

The video playlist below features the videos from AI and Amplifying Human Abilities Plenary and Panel at the 2017 Computing Research Symposium. Details about the speakers are below.

The following playlist features videos from the AAAI Symposium for AI for Social Good.

The following playlist features videos from the workshop on Artificial Intelligence for Social Good.

Science and Policy Materials on AI:

NITRD –  In October 2016, the Networking and Information Technology Research and Development (NITRD) Program released the The National Artificial Intelligence Research and Development Strategic Plan which identifies the strategies and priorities for Federally-funded AI research.

OSTP – In October 2016,the White House Office of Science and Technology Policy (OSTP) published the Preparing for the Future of Artificial Intelligence report, which “surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.”

White House OSTP Request for Information (RFI) for AI – In June 2016, OSTP announced a new Request for Information (RFI) on Artificial Intelligence (AI), to solicit feedback on how the United States can best prepare for the future of AI. According to the OSTP Blog, they “received 161 responses from a range of stakeholders, including individuals, academics and researchers, non-profit organizations, and industry.” All of the responses are now public and can be found here. The CCC’s response can be found here.

AI-related Events:

OSTP Workshop Series – In May, 2016 OSTP announced four workshops (later a fifth was added) surrounding the future of artificial intelligence to explore the opportunities and challenges that AI presents.

  • Artificial Intelligence for Social Good – The CCC co-hosted the second OSTP AI Workshop, Artificial Intelligence for Social Goodwith OSTP and AAAI. In this workshop, we discussed the successful deployments and the potential use of AI in various topics that are essential for social good, including but not limited to urban computing, health, environmental sustainability, and public welfare. You can learn more about the workshop here.
  • Artificial Intelligence: Law and PolicyThe first workshop in the series was co-hosted by the University of Washington School of Law, the White House, and UW’s Tech Policy Lab, “the event places leading artificial intelligence experts from academia and industry in conversation with government officials interested in developing a wise and effective policy framework for this increasingly important technology.”
  • The Future of Artificial Intelligence – The third workshop, co-hosted by Stanford University and OSTP, featured “leading artificial intelligence (AI) researchers will discuss the most impactful research topics in AI and highlight the challenges and potentials of artificial intelligence.”
  • Workshop on Safety and Control for Artificial Intelligence – The fourth workshop was co-hosted by Carnegie Mellon University and OSTP and included “keynote talks and panel discussions that explore the potential future of AI and AI applications, the emerging technical means for constructing safe and secure systems, how safety might be assured, and how we can make progress on the challenges of safety and control for AI.”
  • The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term – The fifth workshop in the series was co-hosted by the NYU Information Law Institute and the White House generated “a foundational discussion about the role of AI in social and economic systems.”

One Hundred Year Study on AI – “The One Hundred Year Study on Artificial Intelligence, or AI100, is a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play” and is the brainchild of task force co-chair Eric Horvitz. Learn more about the One Hundred Year Study here and view the 2016 report here.

AAAI Symposium on AI for Social Good – In 2016, the CCC co-sponsored a workshop on Artificial Intelligence for Social Good with AAAI and OSTP. In order to further the discussion of the benefits of AI to society, the CCC will co-sponsor the AAAI 2017 Spring Symposium on AI for Social Good at Stanford University, March 27-29. This symposium will focus on the promise of AI across multiple sectors of society. Learn more about the Symposium here.

Symposium on Accelerating Science: A Grand Challenge for AI – In November 2016, the CCC co-sponsored a AAAI Symposium that brought together researchers in relevant areas of artificial intelligence (e.g., machine learning, causal inference, knowledge representation and inference, planning, decision making, human computer interaction, distributed problem solving, natural language processing, multi-agent systems, semantic web, information integration, scientific workflows), high performance data and computing infrastructures and services, and selected application areas (e.g., life sciences, learning sciences, health sciences, social sciences, food energy and water nexus) to discuss progress on, and articulate a research agenda aimed at addressing, the AI grand challenge of accelerating science. A workshop report is in progress.

Other Resources:

Partnership on AI – In September, 2016 Amazon, DeepMind/Google, Facebook, IBM, and Microsoft “announced that they will create a non-profit organization that will work to advance public understanding of artificial intelligence technologies (AI) and formulate best practices on the challenges and opportunities within the field. Academics, non-profits, and specialists in policy and ethics will be invited to join the Board of the organization, named the Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI).” You can read the full press release here.

2016 Robotics Roadmap – In 2009, the CCC released A Roadmap for US Robotics, From Internet to Robotics (Robotics Roadmap). The Robotics Roadmap explored the capacity of robotics to act as a key economic enabler, specifically in the areas of manufacturing, healthcare, and in the service industry, 5, 10, and 15 years into the future and was influential in developing 2011’s National Robotics Initiative (NRI). An updated version of the Robotics Roadmap was released in November, 2016 and it expands on the topics discussed in the 2009 roadmap as well as addressing the areas of public safety, earth science, and workforce develop. You can read the full 2016 roadmap here.