Version 1
: Received: 12 October 2023 / Approved: 12 October 2023 / Online: 13 October 2023 (03:00:35 CEST)
Version 2
: Received: 23 October 2023 / Approved: 23 October 2023 / Online: 23 October 2023 (10:04:14 CEST)
How to cite:
Ramanayake, R.; Nallur, V. Implementing Pro-social Rule Bending in an Elder-care Robot Environment. Preprints2023, 2023100788. https://doi.org/10.20944/preprints202310.0788.v2
Ramanayake, R.; Nallur, V. Implementing Pro-social Rule Bending in an Elder-care Robot Environment. Preprints 2023, 2023100788. https://doi.org/10.20944/preprints202310.0788.v2
Ramanayake, R.; Nallur, V. Implementing Pro-social Rule Bending in an Elder-care Robot Environment. Preprints2023, 2023100788. https://doi.org/10.20944/preprints202310.0788.v2
APA Style
Ramanayake, R., & Nallur, V. (2023). Implementing Pro-social Rule Bending in an Elder-care Robot Environment. Preprints. https://doi.org/10.20944/preprints202310.0788.v2
Chicago/Turabian Style
Ramanayake, R. and Vivek Nallur. 2023 "Implementing Pro-social Rule Bending in an Elder-care Robot Environment" Preprints. https://doi.org/10.20944/preprints202310.0788.v2
Abstract
Many ethical issues arise when robots are introduced into elder-care settings. When ethically charged situations occur, robots ought to be able to handle them appropriately. Some experimental approaches use (top-down) moral generalist approaches, like Deontology and Utilitarianism, to implement ethical decision-making. Others have advocated the use of bottom-up approaches, such as learning algorithms, to learn ethical patterns from human behaviour. Both approaches have their shortcomings when it comes to real-world implementations. Human beings have been observed to use a hybrid form of ethical reasoning called Pro-Social Rule Bending, where top-down rules and constraints broadly apply, but in particular situations, certain rules are temporarily bent. This paper reports on implementing such a hybrid ethical reasoning approach in elder-care robots. We show through simulation studies that it leads to better upholding of human values such as autonomy, whilst not sacrificing beneficence.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Rajitha Ramanayake
Commenter's Conflict of Interests: Author