Building machines that learn and think about morality

Christopher Burr; Geoff Keeling

Building machines that learn and think about morality

Christopher Burr, Geoff Keeling

Research output: Contribution to conference › Conference Paper › peer-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 language	English
Number of pages	8
Publication status	Published - 4 Apr 2018
Event	Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 2018) - Liverpool, United Kingdom Duration: 4 Apr 2018 → 6 Apr 2018 http://aisb2018.csc.liv.ac.uk

Conference

Conference	Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 2018)
Country	United Kingdom
City	Liverpool
Period	4/04/18 → 6/04/18
Internet address	http://aisb2018.csc.liv.ac.uk

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title = "Building machines that learn and think about morality",

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.",

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AB - 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.

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