Building machines that learn and think about morality

Christopher Burr, Geoff Keeling

Research output: Contribution to conferenceConference Paperpeer-review

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Abstract

Lake et al. propose three criteria which, they argue,will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also discuss how work in embodied and situated cognition could provide a valuable perspective on future research.
Original languageEnglish
Number of pages8
Publication statusPublished - 4 Apr 2018
EventConvention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 2018) - Liverpool, United Kingdom
Duration: 4 Apr 20186 Apr 2018
http://aisb2018.csc.liv.ac.uk

Conference

ConferenceConvention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 2018)
CountryUnited Kingdom
CityLiverpool
Period4/04/186/04/18
Internet address

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