Decision Theory and the Future of AI
Decision Theory and the Future of AI
Organisers: Seth Lazar, Chelle Adamson, Mario Günther
Speakers: Vincent Conitzer (Duke), David Danks (CMU), Tom Dietterich (Oregon State), Branden Fitelson (Northeastern), Finnian Lattimore (Gradient Institute), Anna Mahtani (LSE), Elija Perrier (University of Sydney), Jim Joyce (Michigan), Johanna Thoma (LSE), Annette Zimmermann (Princeton)
This workshop was hosted on 26-27 August 2019 at the Crawford Business School ANU, Canberra, Australia.
The goal of the international conference series Decision Theory and the Future of AI is to bring together renowned experts of decision theory and AI to tackle the challenges posed by the current development of AI. The third instalment discussed the concerns raised by algorithmic decision making and investigated how decision theory can help AI systems make moral decisions.
The world-leading experts and the abstracts of their talks may be found here.
The conference was organised by Seth Lazar, Alan Hájek, Mario Günther (ANU), Huw Price, Yang Liu (University of Cambridge), and Stephan Hartmann (LMU Munich), and sponsored by ANU, the Leverhulme Centre for the Future of Intelligence, the Centre for the Study of Existential Risk, and the Munich Center for Mathematical Philosophy.