Laakasuo, M, Anton, K, Sanna, R, Marianna, D, Juho, H, Noora, L, Mika, K, Marko, R, Jukka, S, Aku, V, Francis, KB ORCID: https://orcid.org/0000-0002-3875-8904 and Palomaki, J (2022) Moral Psychology of Nursing Robots - Exploring the Role of Robots in Dilemmas of Patient Autonomy. European Journal of Social Psychology. (In Press)

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Abstract

Artificial intelligences (AIs) are widely used in tasks ranging from transportation to healthcare and military, but it is not yet known how people prefer them to act in ethically difficult situations. In five studies (an anthropological field study, n=30, and four experiments, total n=2150), we presented people with vignettes where a human or an advanced robot nurse is ordered by a doctor to forcefully medicate an unwilling patient. Participants were more accepting of a human nurse’s than a robot nurse’s forceful medication of the patient, and more accepting of (human or robot) nurses who respected patient autonomy rather than followed the orders to forcefully medicate (Study 2). The findings were robust against the perceived competence of the robot (Study 3), moral luck (whether the patient lived or died afterwards; Study 4) and command chain effects (Study 5; fully automated supervision or not). Thus, people PREFER robots capable of disobeying orders in favor of abstract moral principles like valuing personal autonomy. Our studies fit in a new era in research, where moral psychological phenomena no longer reflect only interactions between people, but between people and autonomous AIs.

Item Type: Article
Additional Information: The final version of this article and all relevant information related to it, including copyrights, can be found on the publisher website upon publication.
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Natural Sciences > School of Psychology
Depositing User: Symplectic
Date Deposited: 26 Jul 2022 08:50
Last Modified: 26 Jul 2022 08:50
URI: https://eprints.keele.ac.uk/id/eprint/11119

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