Implementing Pro-social Rule Bending in an Elder-care Robot Environment

Implementing Pro-social Rule Bending in an Elder-care Robot Environment. Ramanayake, R. & Nallur, V. In Proceedings of the 15th International Conference on Social Robotics, volume Lecture notes in Computer Science, of Lecture notes in artificial intelligence (LNAI), pages 230–239, Doha, Qatar, December, 2023. Springer International Publishing.

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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.

@inproceedings{ramanayake_implementing_2023,
	address = {Doha, Qatar},
	series = {Lecture notes in artificial intelligence ({LNAI})},
	title = {Implementing {Pro}-social {Rule} {Bending} in an {Elder}-care {Robot} {Environment}},
	volume = {Lecture notes in Computer Science},
	copyright = {All rights reserved},
	isbn = {978-981-9987-18-4},
	url = {https://rdcu.be/ds1C1},
	doi = {10.1007/978-981-99-8718-4_20},
	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.},
	booktitle = {Proceedings of the 15th {International} {Conference} on {Social} {Robotics}},
	publisher = {Springer International Publishing},
	author = {Ramanayake, Rajitha and Nallur, Vivek},
	month = dec,
	year = {2023},
	pages = {230--239},
}

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