Decision & AI 2017

July 28, 2017 - July 31, 2017
University of Cambridge

Trinity College
Cambmridge CB2 1TQ
United Kingdom

All speakers:

Rachael Briggs
Stanford University
David Danks
Carnegie Mellon University
Frederick Eberhardt
California Institute of Technology
Ulrike Hahn
Birkbeck College, 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

Organisers:

Stephan Hartmann
Ludwig-Maximilians-Universität München
Yang Liu
University of Cambridge
Huw Price
University of Cambridge

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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.

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July 10, 2017, 9:00am EET

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