This work was facilitated by the Oxford AI Safety and Governance group, Cooperative AI Foundation, and Oxford Autonomous Intelligent Machines and Systems. Thanks also to Bart Jaworski, Jesse Clifton, Joar Skalse, Sam Barnett, Vincent Conitzer, Charlie Griffin, David Hyland, Michael Wooldridge, Ted Turocy, and Alessandro Abate. This blogpost accompanies the...
This post summarizes work done over the summer as part of the Summer 2023 AI Safety Hub Labs programme. Our results will also be published as part of an upcoming paper. In this post, we focus on explaining how we define and evaluate properties of deceptive behavior in LMs and...
This work was facilitated by the Oxford AI Safety and Governance group, Cooperative AI Foundation, and Oxford Autonomous Intelligent Machines and Systems. Thanks also to Bart Jaworski, Jesse Clifton, Joar Skalse, Sam Barnett, Vincent Conitzer, Charlie Griffin, David Hyland, Michael Wooldridge, Ted Turocy, and Alessandro Abate.
This blogpost accompanies the paper Cooperation and Control in Delegation Games by Sourbut, Hammond, and Wood, which was presented at IJCAI 2024. In essence, the work attempts to deconfuse some of the discourse around safety, cooperation, and alignment in multi-agent settings by:
This post summarizes work done over the summer as part of the Summer 2023 AI Safety Hub Labs programme. Our results will also be published as part of an upcoming paper. In this post, we focus on explaining how we define and evaluate properties of deceptive behavior in LMs and present evaluation results for state-of-the-art models. The work presented in this post was done by the AISHL group of Felix Hofstätter, Harriet Wood, Louis Thomson, Oliver Jaffe, and Patrik Bartak under the supervision of Francis Rhys Ward and with help from Sam Brown (not an AISHL participant).
For a long time, the alignment community has discussed the possibility that advanced AI systems may... (read 5223 more words →)
