Raising Robots to be Good: a practical interpretation, framework and methodology for developing moral machines

Over recent years there has been a developing interest in AI and ethics, with some researchers attempting to bestow upon machines the capacity for them to make their own ethical decisions. These recent attempts have raised a significant amount of attention, largely owing to their failure. Where Machine Ethics can be described as the pursuit to create machines with the capacity to make moral decisions, this thesis carries out an in-depth exploration and investigation into this area, and specifically, how we might create machines with morals. In turn, it proposes a practical framework, methodology and then design for their implementation through appeal to practical case studies, philosophical and psychological insight. The central ideas behind this thesis are that Machine Ethics requires a reframing – to Machine Ethics 2.0 – and that instead of trying to create machines that simply replicate (or mimic) human morality, we should be trying to create machines that are equipped with the necessary features to develop their own moral outlook. In turn, this means that rather than simply bestowing upon machines moral decision-making, influenced by our own human outlook of the world, supported by the necessary architecture for moral agency, we should be looking at the developmental framework for cultivating moral growth in our machines: raising robots to be good.

Grantor dc:publisher

Oxford Brookes University

Year dc:date

2022

Author dc:creator

• Raper, Rebecca

Contributors dc:contributor

• Crook, Nigel
• Rolf, Matthias
• Jayne, Chrisina

Statement dc:rights

• All rights reserved

Language dc:language

en

DOI dc:identifier

https://doi.org/10.24384/4ypz-d514

OAI identifier oai:identifier

tle:fafb51ad-86c1-482e-a947-a1e47bfd1e09:d6bd9758-527a-46cd-bfe2-c433766e8fca:1