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AI Executive Short Course April 30, 2019 5000 Forbes Ave Pittsburgh, PA 15213

WIFI Network: CMU-GUEST Access Code: EHGU8AZ4 Connection instructions on page 3.

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Agenda

AI Executive Short Course Tuesday, April 30, 2019 Gates-Hillman Center

6th Floor Commons and Room 6115

0830 Registration and Continental Breakfast 0905 George Darakos, Director of Partnerships, School of Computer Science

Welcome & Overview of Carnegie Mellon University 0915 Roni Rosenfeld, Head of Machine Learning Development

AI, Machine Learning, and Deep Learning: Historical Perspective, Recent Developments, and Open Challenges

1015 Martial Hebert, Director of the Robotics Institute Introduction to the AI Stack

● Understanding and Leveraging the AI Stack ● A Blueprint for Developing and Deploying AI

1115 Break

1130 Colin Clarke, Assistant Teaching Professor, Institute for Politics and Strategy

Artificial Intelligence and International Security 1200 Working Lunch 1230 Matthew Gaston, Director, Software Engineering Institute, Emerging Technology

Center 1300 Visit to CMU Robotics Institute Labs (Located in Newell-Simon Hall)

• Intelligent Autonomous Manipulation Lab with Assistant Professor Oliver Kroemer

• Humanoid Robot Partner Lab with Assistant Professor Henny Admoni 1400 David Danks, L.L. Thurstone Professor; Department Head, Philosophy AI in Use: Ethics, Impacts, and Responses 1500 Peter Rander, President, Argo AI

Engineering Artificial Intelligence for the Physical World

1515 Patti Rote, Executive Education Program Manager Closing Remarks and Post-Course Survey 1530 Meeting Adjourned

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Accessing the CMU Guest Wireless Network

Welcome to Carnegie Mellon’s guest wireless service! You will need your event access code and your valid non-CMU email address. 1. Connect your Wi-Fi enabled device to the CMU-GUEST wireless network.

2. Browse to any web page; you will be redirected to the guest wireless service page. 3. Enter a valid (non-CMU) email address and your event access code.* Only one session is allowed per email address. *Event access code: EHGU8AZ4

4. Accept the terms of use and click Log In. You will be redirected to the web page originally requested. At this point, you are free to browse to other web sites. Note: If your wireless connection to CMU-GUEST times out, re-enter your email address and access code to re-connect. To speed network access when you start or wake your computer, you may want to make CMU-GUEST your preferred network in your device network settings for the duration of your visit.

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Instructors

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Colin Clarke Assistant Teaching Professor, Institute for Politics and Strategy Provost’s Office Contact Information: Email: cclarke@andrew.cmu.edu; Phone: 412-268-8047 Website: https://www.cmu.edu/ips/people/Faculty/colin-clarke.html

Colin P. Clarke is an assistant teaching professor in the Institute for Politics and Strategy (IPS) at Carnegie Mellon University, where he also has responsibilities with the Institute for Strategic Analysis (ISA) and serves on the executive board for the Masters of Information Technology Strategy (MITS) program.

Before coming to CMU, Clarke spent nearly a decade at the RAND Corporation where he was a senior political scientist focusing on terrorism, insurgency and criminal networks. At RAND, Clarke directed studies on ISIS financing, the future of terrorism and transnational crime, and lessons learned from all insurgencies between the end of WWII and 2009. He was also a member of the Pardee RAND Graduate School (PRGS) faculty.

He is also an associate fellow at the International Centre for Counter-Terrorism (ICCT), a non-resident Senior Fellow at the Foreign Policy Research Institute (FPRI), and a fellow at the Program on Extremism at George Washington University.

Clarke has briefed his research at a range of national and international security forums, including the U.S. Army War College, US Air Force Special Operations School, Society for Terrorism Research International Conference, the Global Counterterrorism Forum (GCTF) and the Counter ISIS Financing Group (CIFG), which is part of the Global Coalition to Defeat ISIS. He has served as an expert witness on terrorism related topics, testifying before Congress on several occasions. In 2011, he spent several months as an analyst with Combined Joint Interagency Task Force-Shafafiyat at ISAF headquarters in Kabul, Afghanistan, working for LTG H.R. McMaster, the former U.S. National Security Advisor.

He appears frequently in the media, has been quoted in The New York Times, The Washington Post, and The Wall Street Journal, and has published his research in Foreign Affairs, Foreign Policy, The Atlantic, Politico, Lawfare, and numerous scholarly journals, including Small Wars & Insurgencies, Historical Methods, and Military Operations Research.

Clarke is the author of Terrorism, Inc.: The Financing of Terrorism, Insurgency, and Irregular Warfare (2015) and Terrorism: The Essential Reference Guide (2018), both published by ABC-CLIO/Praeger Security International. His forthcoming book, After the Caliphate: The Islamic State and the Terrorist Diaspora will be published by Polity Press in the spring of 2019.

He received his Ph.D. in international security policy from the University of Pittsburgh.

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David Danks L.L. Thurstone Professor Department Head, Philosophy Dietrich College of Humanities and Social Sciences Contact Information: Email: ddanks@cmu.edu; Phone: 412-268-8047 Website: https://www.cmu.edu/dietrich/philosophy/ people/faculty/danks.html

Dr. David Danks is L.L. Thurstone Professor of Philosophy & Psychology, and Head of the Department of Philosophy, at Carnegie Mellon University. At CMU, he is also an adjunct member of the Heinz College of Information Systems and Public Policy, and the Carnegie Mellon Neuroscience Institute. His external affiliations include the Center for Advanced Study of Language (Univ. of Maryland); and both the Department of History & Philosophy of Science and Center for Philosophy of Science (Univ. of Pittsburgh). Danks is the recipient of a James S. McDonnell Foundation Scholar Award, as well as an Andrew Carnegie Fellowship. Before arriving at CMU, he received an A.B. in Philosophy from Princeton University, an M.A. and Ph.D. in Philosophy from University of California, San Diego, and was a Research Scientist at the Florida Institute for Human & Machine Cognition. Danks's research & teaching interests are at the intersection of philosophy, cognitive science, and machine learning, using ideas and frameworks from each to advance our understanding of complex, interdisciplinary problems. His research in computational cognitive science developed fully-specified computational models to describe, predict, and most importantly, explain human behavior. The fullest expression of that work can be found in Unifying the Mind: Cognitive Representations as Graphical Models (2014; The MIT Press). Danks has also examined ethical, psychological, and policy issues around AI and robotics, such as trust of AI, explainability, and algorithmic biases. His work has examined use cases in multiple sectors, including transportation, healthcare, privacy, and defense/security.

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Matthew Gaston Director, SEI Emerging Technology Center Adjunct Professor, Institute for Software Research School of Computer Science Contact Information: Email: megaston@sei.cmu.edu; Phone: 412-268-3918 Website: https://www.sei.cmu.edu/about/leadership/display.cfm? customel_datapageid_2623=2983

Dr. Matt Gaston is director of the SEI Emerging Technology Center (ETC). He assists the U.S. Department of Defense and the intelligence community in identifying, evaluating, developing, and transitioning leading-edge data-intensive scalable computing technologies. He has led the establishment and growth of the ETC since January 2011. With his leadership, the ETC research portfolio has grown to include work in the fields of autonomy, biometrics, analytics, and visualization. Gaston also holds an appointment as an adjunct associate professor at the Carnegie Mellon University Institute for Software Research. Before joining the SEI, Gaston was the director of research at Viz, a business area of General Dynamics C4 Systems (GDC4S), where he led research activities for the Battle Management System Division. This work included a research portfolio that spanned command and control, intelligence analysis, information interaction and visualization, and cyber situational awareness. During this time, he also served as a member of the External Advisory Board for Sandia National Laboratory’s Network Grand Challenge, which focused on novel techniques and computing paradigms for large-scale network analysis applications in cybersecurity, counter-proliferation, and other national security issues. Prior to his work with GDC4S, Gaston served as the technical director of the Advanced Analysis Laboratory at the U.S. National Security Agency, where he led numerous activities to bring new technology and innovation to the process and practice of intelligence analysis. His work included developing and applying advanced computational intelligence analysis techniques, leading the development of a massive-scale network analysis system, and co-founding the Institute for Analysis. He has published in the fields of complex networks, machine learning, multi-agent systems, and operations research. He is a member of Leadership Pittsburgh XXVIII and is a founding trustee of Awesome Pittsburgh. Gaston holds a BS in Mathematics from University of Notre Dame, 1998, and an MS and PhD in Computer Science from University of Maryland Baltimore County.

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Martial Hebert Director, The Robotics Institute School of Computer Science Contact Information: Email: hebert@ri.cmu.edu; Phone: 412-268-5704 Website: http://www.cs.cmu.edu/~hebert/

Martial Hebert is a Professor of Robotics at Carnegie-Mellon University and Director of the Robotics Institute. His research interests include computer vision and robotics, especially recognition in images and video data, model building and object recognition from 3D data, and perception for mobile robots and for intelligent vehicles. His group has developed approaches for object recognition and scene analysis in images, 3D point clouds, and video sequences. In the area of machine perception for robotics, his group has developed techniques for people detection, tracking, and prediction, and for understanding the environment of ground vehicles from sensor data. He currently serves as Editor-in-Chief of the International Journal of Computer Vision.

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Roni Rosenfeld Professor and Head, Machine Learning Department School of Computer Science Contact Information: Email: roni@cs.cmu.edu; Phone: 412-268-7678 Website: http://www.cs.cmu.edu/~roni

Roni Rosenfeld (B.Sc., mathematics and physics, 1985, Tel-Aviv University; M.Sc. 1991, Ph.D. 1994, computer science, Carnegie Mellon University) is head of the Machine Learning Department and professor of machine learning, language technologies, computer science and computational biology, in the School of Computer Science at Carnegie Mellon University, Pittsburgh, Pennsylvania. He also holds a courtesy appointment at the Heinz School of Public Policy at Carnegie Mellon, and an adjunct appointment at the University of Pittsburgh School of Medicine. Rosenfeld has been teaching machine learning and statistical language modeling since 1997. He has taught thousands of undergraduate and graduate students, has been a mentor to four post-doctoral students and an advisor to about a dozen Ph.D. students and a score of Masters and undergraduate students. Professor Rosenfeld's current interests include tracking and forecasting epidemics, using speech and language technologies to aid international development, using machine learning for social good, and advancing data numeracy for all. He has also performed research in statistical language modeling, machine learning, speech recognition and viral evolution. He has published well over 100 scientific articles in academic journals and conferences. Rosenfeld is a recipient of the Allen Newell Medal for Research Excellence and of the Spira Teaching Excellence Award.

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Guest Speaker

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Peter Rander President, Argo AI Peter is a seasoned leader in the development of complex, autonomy-enabled systems, as well as the organizations that build those systems. Passionate to see robotics technology change the world, Peter has consistently pursued opportunities to help make that change happen, from working on a number of commercialization projects at the National Robotics Engineering Center at Carnegie Mellon University, tobeing part of the formative team that launched Uber’s self-driving car efforts. His core robotics work spans computer

vision, perception, path planning and control, and simulation-based robotic system development and testing. He has also led numerous human-centric robotic interface programs that leverage underlying autonomy technologies to aid human operators at multiple levels of interaction. Peter holds a master’s degree (1993) and a Ph.D. (1998) in electrical and computer engineering from Carnegie Mellon University, and a bachelor’s degree (1991) in electrical engineering from University of Detroit-Mercy.

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Attendees

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Name Organization Spencer Allen Aethon Reeg Allen RE2 Robotics Ron Bianchini Microsoft Chuck Brandt ARM Institute Grace Brueggman Carnegie Robotics Jeffrey Butler Microsoft Stephen Catt ARM Institute Byron Clayton ARM Institute Robb Colbrunn Cleveland Clinic Alexa Coughenour Center of Life Jay Douglass ARM Institute Nicholas Faughey BITO Robotics Matt Fischer ARM Institute Dr. Pradeep Fulay West Virginia University Jesse Goellner Allegheny Science & Technology Karisa Haslett Oakland Catholic Sergey Ivanov Carnegie Robotics Derrick Karimi Carnegie Robotics Michael Kazar Microsoft Arnie Kravitz ARM Institute Cara Mazzarini ARM Institute Kent McElhattan Discovery Robotics Chris Niessl Carnegie Robotics Edward Ognibene QinetiQ North America Burak Ozdoganlar ARM Institute Edward Pierson Lockheed Martin Joel Reed IAM Robotics Wes Reid IAM Robotics Travis Schneider RE2 Robotics David Stephenson Microsoft Quentin Torgerson Carnegie Robotics Rob Toth CMU Amy Wylie