Supervisory Agent for Safety Improvements in AI Systems

Lead Research Organisation: University of Nottingham
Department Name: School of Computer Science

Abstract

This research will investigate the feasibility of introducing an independent Supervisory Agent to monitor AI based agent(s) operating within an environment. The primary focus is agent(s) whose behaviour has the potential to change at run-time (for example, via techniques such as generative planning or machine learning) thus introducing unknown actions. The Supervisory Agent will monitor the intended actions of the agent(s), and prevent the execution of any harmful or unsafe actions. This may involve substituting a safe action for an unsafe action that has been suppressed.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N50970X/1 01/10/2016 30/09/2021
2102490 Studentship EP/N50970X/1 01/10/2018 12/12/2022 Simon Castle-Green
EP/R513283/1 01/10/2018 30/09/2023
2102490 Studentship EP/R513283/1 01/10/2018 12/12/2022 Simon Castle-Green