|Submission deadline||May 26, 2017|
|Notification||June 02, 2017|
|Camera ready||July 07, 2017|
|Workshop||July 16, 2017|
L.L. Thurstone Professor of Philosophy and Psychology
Department of Philosophy
Carnegie Mellon University
Dr. David Danks is the L.L. Thurstone Professor of Philosophy and Psychology and the head of the department of Philosophy at Carnegie Mellon University. His research largely falls at the intersection of philosophy, cognitive science, and machine learning, using ideas and frameworks from each to inform the others. His primary research in recent years has been in computational cognitive science: developing fully-specified computational models to describe, predict, and most importantly, explain human behavior. His other major research project, partly supported by an Andrew Carnegie Fellowship, has focused on the human impacts when autonomy is introduced into a technological system. In particular, he has examined the relations of trust and identity as they are affected by technologies such as self-driving vehicles, autonomous weapons systems, and autonomous cyber-systems.
Kimberly J. Jenkins University Professor of New Technologies
Professor of Computer Science
Professor of Economics
Professor of Philosophy
Dr. Vincent Conitzer is the Kimberly J. Jenkins University Professor of New Technologies and Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. He received Ph.D. (2006) and M.S. (2003) degrees in Computer Science from Carnegie Mellon University, and an A.B. (2001) degree in Applied Mathematics from Harvard University. Most of his research is on artificial intelligence (especially multiagent systems) and economic theory (especially game theory, social choice, and mechanism design). Conitzer has received the Social Choice and Welfare Prize (2014), a Presidential Early Career Award for Scientists and Engineers (PECASE), the IJCAI Computers and Thought Award, an NSF CAREER award, the inaugural Victor Lesser dissertation award, an honorable mention for the ACM dissertation award, and several awards for papers and service at the AAAI and AAMAS conferences. He has also been named a Guggenheim Fellow, a Kavli Fellow, a Bass Fellow, a Sloan Fellow, and one of AI's Ten to Watch. Conitzer and Preston McAfee are the founding Editors-in-Chief of the ACM Transactions on Economics and Computation (TEAC).
Computer Science and Engineering
University of Michigan
Dr. Benjamin Kuipers joined the University of Michigan in January 2009 as Professor of Computer Science and Engineering. Prior to that, he held an endowed Professorship in Computer Sciences at the University of Texas at Austin. He received his B.A. from Swarthmore College, and his Ph.D. from MIT. He investigates the representation of commonsense and expert knowledge, with particular emphasis on the effective use of incomplete knowledge. His research accomplishments include developing the TOUR model of spatial knowledge in the cognitive map, the QSIM algorithm for qualitative simulation, the Algernon system for knowledge representation, and the Spatial Semantic Hierarchy model of knowledge for robot exploration and mapping. He has served as Department Chair at UT Austin, and is a Fellow of AAAI, IEEE, and AAAS.
Fellow of the Centre for Advanced Study in Bioethics
University of Münster
Dr. Jörg Hardy is Fellow at the Centre for Advanced Study in Bioethics, University of Münster, Germany, Senior Lecturer at the Free University of Berlin and Executive Director of the "Fund Raising Agency Hardy". His research is on Logical Theory, the Philosophy of Mind, Mind-Machine Interfaces, Epistemology, Ethics, and Ancient Philosophy. Dr. Hardy has published four books, and he currently writes a monograph on "Autononmy and Dignity".
Co-Director of the Humanity Centered Robotics Initiative
Dr. Michael L. Littman is a professor of computer science at Brown University. He received his Ph.D. in computer science from Brown University in 1996. From 1996-1999, he was a professor at Duke University. From 2000-2002, he worked at AT&T. From 2002-2012, he was a professor at Rutgers University. In Summer 2012, he returned to Brown University as a full professor. His main research interest is in reinforcement learning, but he has done work in machine learning, game theory, computer networking, partially observable Markov decision process solving, computer solving of analogy problems and other areas. He is currently a co-director of the Humanity-Centered Robotics Initiative at Brown University. He has served as Department Chair at Rutgers University and is a Fellow of AAAI.
Professor of Cognitive and Computer Science
Adjunct Professor of Psychology
Bernard M. Gordon Senior Faculty Fellow
Director of Human-Robot Interaction Laboratory (HRILab)
Dr. Matthias Scheutz is a Professor in Cognitive and Computer Science in the Department of Computer Science and an adjunct professor in psychology at Tufts University. He earned a Ph.D. in Philosophy from the University of Vienna in 1995 and a Joint Ph.D. in Cognitive Science and Computer Science from Indiana University Bloomington in 1999. He has more than 200 peer-reviewed publications in artificial intelligence, natural language processing, cognitive modeling, robotics, and human-robot interaction. His current research focuses on complex cognitive robots with natural language capabilities.
David S. Lewis Associate Professor of Cognitive Engineering
Daniel Guggenheim School of Aerospace Engineering
Georgia Institute of Technology
Dr. Amy R. Pritchett is the David S. Lewis Associate Professor of Cognitive Engineering in the Daniel Guggenheim School of Aerospace Engineering, holding a joint appointment in the School of Industrial and Systems Engineering. Dr. Pritchett received an SB, SM and ScD in aeronautics and astronautics from MIT in 1992, 1994 and 1997, respectively. Dr. Pritchett has led numerous research projects sponsored by industry, NASA and the FAA. She has also served via IPA as Director of NASA's Aviation Safety Program, responsible for planning and execution of the program ($75-82M / year), conducted at 4 NASA research centers and sponsoring roughly 200 research agreements, and serving on several executive committees, including the OSTP Aeronautic Science and Technology Sub-committee, and the executive committees of CAST and ASIAS. She has published over 170 scholarly publications in conference proceedings and in scholarly journals such as Human Factors, Journal of Aircraft and Air Traffic Control Quarterly. She has also won the RTCA William H. Jackson Award and, as part of CAST, the Collier Trophy, and the AIAA has named a scholarship for her. Professor Pritchett is the Editor in Chief of the Journal of Cognitive Engineering and Decision Making. She is a member of the FAA REDAC and chairs the Human Factors REDAC sub-committee. She is also a licensed pilot of airplanes and sailplanes.
Richard C. Maclaurin Professor
Department of Aeronautics and Astronautics
Massachusetts Institute of Technology
Dr. Jonathan P. How is the Richard C. Maclaurin Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). He received his B.A.Sc. degree (aerospace) from the University of Toronto in 1987 and his S.M. and Ph.D. degrees in aeronautics and astronautics from MIT in 1990 and 1993, respectively. He then studied for one and a half years at MIT as a postdoctoral associate for the Middeck Active Control Experiment (MACE) that flew onboard the Space Shuttle Endeavour in March 1995. Prior to joining MIT in 2000, he was an assistant professor in the Department of Aeronautics and Astronautics at Stanford University. He is the editor-in-chief of IEEE Control Systems Magazine and an associate editor for AIAA Journal of Aerospace Information Systems. He was the recipient of the 2002 Institute of Navigation Burka Award, the IFAC Automatica award for best applications paper in 2011, the AeroLion Technologies Outstanding Paper Award for the journal Unmanned Systems in 2015, won the IEEE Control Systems Society Video Clip Contest in 2015, and received the AIAA Best Paper in Conference Awards in 2011, 2012, and 2013. He is a fellow of AIAA and a Senior Member of the IEEE.
MIT Media Lab
Massachusetts Institute of Technology
Dr. Iyad Rahwan is the AT&T Career Development Professor and an Associate Professor of Media Arts & Sciences at the MIT Media Lab, where he leads the Scalable Cooperation group. A native of Aleppo, Syria, Rahwan holds a PhD from the University of Melbourne, Australia, and is an affiliate faculty at the MIT Institute of Data, Systems and Society (IDSS). Rahwan's work lies at the intersection of the computer and social sciences, with a focus on collective intelligence, large-scale cooperation, and the social aspects of Artificial Intelligence. He led the winning team in the US State Department's Tag Challenge, using social media to locate individuals in remote cities within 12 hours using only their mug shots. His work appeared in major academic journals, including Science and PNAS, and was featured in major media outlets, including the New York Times, The Economist, Wall Street Journal, and the Washington Post.
Assistant Professor of Aerospace Engineering
Research Associate in the Rock Ethics Institute
Pennsylvania State University
Dr. Alan R. Wagner is an assistant professor in the Department of Aerospace Engineering and a research associate in the Rock Ethics Institute. He received his PhD from Georgia Institute of Technology’s College of Computing. His research and teaching interests focus on the development of techniques which allow robots to interact with a wide variety of people in various different social contexts. He is currently investigating human-robot trust and the conditions which encourage or discourage people from trusting robots as well the possibility of developing robots which will evaluate whether or not they can trust people. Application areas for these interests range from military to healthcare with particular emphasis on search and rescue and humanitarian applications.
Wagner’s research has won several awards including being selected for by the Air Force Young Investigator Program. His research on deception has gained significant notoriety in the media resulting in articles in the Wall Street Journal, New Scientist Magazine, the Journal of Science, and described as the 13th most important invention of 2010 by Time Magazine. His research has also won awards within the human-robot interaction community, such as the best paper award at RO-MAN 2007. He also holds a master’s degree in computer science from Boston University and an undergraduate degree in psychology from Northwestern University.