IJCAI 2018 tutorial: Computational Social Choice and Moral
Location and time:
Room K21, 14:00-15:30 (first part on computational social choice) and
16:00-18:00 (second part on moral AI). It should be possible to follow the
second part without having been there for the first, but it will certainly
help to have been there for the first.
Social choice is the theory of how to make
decisions based on the preferences of multiple agents. Computational
social choice is by now a well-established research area in multiagent
systems, but more recently has also started to be applied to some of the
thorniest problems regarding the societal impact of AI. How should AI make
decisions with a moral component, when human beings cannot agree on what
the right decisions are?
In the first part of this tutorial, I will give an introduction to
computational social choice (no previous background required). I will
focus primarily on voting, but will also discuss related settings, in
particular judgment aggregation.
In the second part, I will discuss some problems in AI with a moral
component. How should a self-driving car trade off risks between its
occupants and others on the road? How (if at all) should we prioritize
patients for the purpose of receiving an organ in a kidney exchange? I
will discuss how techniques from computational social choice might be
applied to these problems.
Part I: ppt, pdf.
Part II: pptx,
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, 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 were the founding Editors-in-Chief of the ACM Transactions
on Economics and Computation (TEAC).