AI systems increasingly need to make decisions with a moral component.

For example, should a self-driving car prioritize the safety of its
passengers over that of others, and to what extent? I will briefly
discuss some general approaches to such problems.

I will then go into detail on the application of these techniques to
kidney exchanges (no prior familiarity required). A kidney exchange
allows patients who are in need of a kidney transplant, and who have
willing but incompatible donors, to exchange donors. Some real kidney
exchanges use algorithms to determine an optimal matching. Should
such an algorithm take features such as the patient’s age into
account, and to what extent? What would be the consequences for a
reasonably large exchange?

Finally, I will discuss in more detail the problem that, generally,
not everyone will agree on what the morally preferred option is,
and how this can be addressed using techniques from
computational social choice.

The first part (https://www.cs.duke.edu/~conitzer/moralAAAI17.pdf) is
joint work with Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan
Deng, and Max Kramer.
The second part (https://users.cs.duke.edu/~conitzer/kidneyAAAI18.pdf)
is joint work with Rachel Freedman, Jana Schaich Borg, Walter
Sinnott-Armstrong, and John Dickerson.
The third part (https://www.cs.duke.edu/~conitzer/tradeoffsAAAI16.pdf)
is joint work with Rupert Freeman, Markus Brill, and Yuqian Li.

Bio: 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).