Walter Sinnott-Armstrong is Stillman Professor of Practical Ethics at
Duke University in the Philosophy Department, the Kenan Institute for
Ethics, the Duke Institute for Brain Science, and the Law School. He
publishes widely in ethics, moral psychology and neuroscience,
philosophy of law, epistemology, informal logic, and philosophy of
Jana Schaich Borg is an Assistant Research Professor in the Social
Science Research Institute and Affiliate Faculty member with the Center
for Cognitive Neuroscience. Schaich Borg uses neuroscience,
computational modeling, and emerging technologies to study how we make
social decisions that influence, or that are influenced by, other
people. She uses a variety of neuroscience and data science techniques
to pursue her interdisciplinary reserach.
Lok Chan is a Post-doctoral Associate in the Social Science Research
Institute and the Department of Population Health Science. Lok is
interested in the intersection between artifical intelligence, data
science, and philosophy of science. He wrote his dissertation on the
role of abductive reasoning in the context of Bayesian statistical
Duncan McElfresh is a PhD student in Applied Mathematics (AMSC) at the
University of Maryland, and is advised by John P. Dickerson. His
research focuses on both practical and theoretical applications of AI,
to solve problems with societal and ethical implications. He has studied
a variety of application areas, including kidney exchange, public health
communication, and homelessness assistance.
Kenzie Doyle is the manager for the Moral AI lab and a
post-baccalaureate research associate in the Duke Institute for Brain
Sciences. She graduated from Grinnell College in 2015 with a B.A. in
Psychology. Her interests include physiological affective science, the
digital humanities, and personality psychology.
Caspar Oesterheld is a first-year computer science Ph.D. student,
advised by Vincent Conitzer. His interests lie at the intersection of
game and decision theory, artificial intelligence and theoretical
Siyuan Yin is a Ph.D. student at Vanderbilt. Prior to visiting at the
Kenan Institute for Ethics at Duke, she received her Doctor in Medicine
and worked on the cognitive mechanisms of human judgment and
decision-making with probabilistic and dynamic models. She is primarily
interested in decision making under risk and uncertainty, social choice
theory, game theory, neuroeconomics, and multi-attribute moral judgment,
and tries to find structures underlying these processes with
mathematical and economic approaches.
Scott Emmons is an undergraduate student majoring in mathematics and
computer science. He has studied algorithms in network science and
robotics, and he is interested in the algorithmic and ethical questions
of aligning machine intelligence with human values.
Anika Mukherji is an undergraduate junior at Duke. She is studying
Computer Science and Neuroscience - pursuing a major called "Minds and
Machines". She is one of the lead web developers and is a part of the
kidney exchange study.
Nikhil Ravi is an undergraduate sophomore studying Computer Science and
Mathematics. His main research interests lie in Deep Learning and
Eitan Sapiro-Gheiler is currently an undergraduate at Princeton
University, majoring in economics and minoring in applied math. With the
Moral AI group, he helped design and implement the Skype version of the
trust game and running the game with actual participants. In addition,
he (alongside Kenzie) was the primary point of contact for participants
and collected the first batch of in-person data as well as preliminary
data analysis for both the Skype and online trust games.
Weiyao Wang is an undergraduate at Duke majoring in mathematics and
computer science and minoring in political science. He is interested in
the intersection of machine learning, artificial intelligence and social
needs. His research in the group focuses on theory and fairness in
Vincent Conitzer is a 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 the IJCAI
Computers and Thought Award, the main AI award for a researcher under
35, as well as a Presidential Early Career Award for Scientists and
John Dickerson is an Assistant Professor of Computer Science at the
University of Maryland. He develops practical approaches to solving
economic problems using techniques from stochastic optimization and
machine learning. He is an NSF CAREER recipient, Facebook Fellow, and
Joshua August Skorburg is Postdoctoral Associate in Philosophy. His
research is in moral psychology and applied ethics. He is teaching an
ethics course for Duke's new Master in Interdisciplinary Data Science
Abbas Zaidi is finishing his PhD at the Department of Statistical
Science at Duke University. His research is focused on the development
of Bayesian methods for causal inference. He is currently working on
understanding causal relationships in economic trust game data using
advanced machine learning techniques.
Gayan Seneviratna is a first year Master’s student in the Electrical and
Computer Engineering (ECE) program at the Pratt School of Engineering.
He is currently working on turning data from the trust game videos into
measures of synchrony. He also makes the occasional software widget for
Joy Becker is an alum of Grinnell College with a B.A. in Biology. As
part of a long meandering journey towards finding a career path, she
happens to find herself collecting data for the Trust Game. Her current
interests include neuroscience, bioinformatics, and pestering her two
Emre Kiziltug is an undergraduate senior at Duke majoring in Computer
Science and Economics and minoring in Biology. He is interested in ML
applications in medicine an involved with the kidney exchange project.
Cassi Carley is in law school to pursue a career in tech law and policy,
following her Ph.D. in Computer Science from Duke. Currently, she is
exploring ethical tech as a fellow at the Duke Center on Law &
Technology and through participation in the Bass Connections Moral AI
and Adaptive Regulations groups. Her thesis work is in computer vision
and AI, exploring the classification of activities that involve patterns
of hand motion and manipulation. Cassi graduated from Duke in 2011 with
a B.S. in Public Policy and Computer Science.
Yuan Deng is currently a fourth-year Ph.D. student in Computer Science
at Duke University, advised by Vincent Conitzer. He is broadly
interested in theoretical computer science, especially algorithmic game
theory and machine learning.
Rachel Freedman graduated from Duke University in 2017 with an
interdepartmental undergraduate degree in "Artificial Intelligence
Systems". She’s interested in effective altruism and AI safety, and
co-founded an existential risk student society during her year abroad at
Oxford. She completed her undergraduate thesis on kidney exchanges with
the Moral AI group, supervised by Dr. Vince Conitzer, and looks forward
to pursuing further research in artificial intelligence.
Max Kramer is currently a Ph. D. student in philosophy at the University
of Arizona. He led a project on folk appraisal of AI systems making
moral and consequential decisions in a variety of contexts. He found
that their preferences were largely a function of prior exposure to
computerized systems making these kinds of decisions and in light of
this finding, we developed a series of interventions that were aimed at
encouraging the folk to have a greater preference for AI decision-makers
in a kidney exchange context in order to both better characterize what
was at work in forming these preferences and also to attempt to
synthesize these preference-guiding facts, beliefs, or dispositions.
Sarah Cogan is a junior from New York majoring in Computer Science and
minoring in Philosophy. As a co-president of Duke's effective altruism
chapter "EA: Duke," Sarah grew interested in artificial intelligence
after learning about AI safety concerns prevalent in the effective
altruism community. Sarah is eager to work with this Bass Connections
team to combine her two interests in computer science and ethics.