Call for Participation
Workshop on Decision Theory & the Future of Artificial Intelligence
28-31 July 2017
Trinity College, Cambridge, United Kingdom
http://www.decision-ai.org
Attendance is free but seating is limited
DESCRIPTION:
There is increasing interest in the challenges of ensuring that the long-term development of artificial intelligence (AI) is safe and beneficial. Moreover, despite different perspectives, there is much common ground between mathematical and philosophical decision theory, on the one hand, and AI, on the other. The aim of this workshop – intended to be the first in a regular series organised jointly by MCMP at LMU and CFI and CSER at Cambridge – is to bring the expertise of decision theory to bear on the challenges of the beneficial development of AI, by fostering links and joint research at the nexus between decision theory and AI. The inaugural workshop will aim at community building and road-mapping, and identifying useful research programs at the intersection of these two fields.
SPEAKERS:
R.A. Briggs (Stanford University)
David Danks (Carnegie Mellon University)
Frederick Eberhardt (California Institute of Technology)
Ulrike Hahn (Birkbeck, University of London)
Joe Halpern (Cornell University)
Thomas Icard (Stanford University)
Ramana Kumar (Data61, CSIRO/UNSW)
Pedro Ortega (Google DeepMind)
Reuben Stern (LMU Munich)
Jiji Zhang (Lingnan University)
ORGANIZERS:
Stephan Hartmann (Munich)
Yang Liu (Cambridge)
Huw Price (Cambridge)
REGISTRATION:
Attendance of this event is free but seatings are limited. Please contact Yang Liu (liu@yliu.net) if you are interested in participating in this workshop. More information about the workshop including the program can be found on the conference website.
SPONSERS:
Cambridge Center for the Study of Existential Risk (CSER)
Leverhulme Centre for the Future of Intelligence (CFI)
Munich Center for Mathematical Philosophy (MCMP)
Faculty of Philosophy, University of Cambridge