Awad, Edmond, Levine, Sydney, Anderson, M, Anderson, S, Conitzer, V, Crockett, M, Everett, Jim A.C., Evgeniou, T, Gopnik, A, Jamison, J, and others. (2022) Computational ethics. Trends in Cognitive Sciences, 26 (5). pp. 388-405. ISSN 1364-6613. (doi:10.1016/j.tics.2022.02.009) (KAR id:95159)
PDF
Publisher pdf
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
Download this file (PDF/1MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://www.sciencedirect.com/science/article/pii/... |
Abstract
Technological advances are enabling roles for machines that present novel ethical challenges. The study of 'AI ethics' has emerged to confront these challenges, and connects perspectives from philosophy, computer science, law, and economics. Less represented in these interdisciplinary efforts is the perspective of cognitive science. We propose a framework – computational ethics – that specifies how the ethical challenges of AI can be partially addressed by incorporating the study of human moral decision-making. The driver of this framework is a computational version of reflective equilibrium (RE), an approach that seeks coherence between considered judgments and governing principles. The framework has two goals: (i) to inform the engineering of ethical AI systems, and (ii) to characterize human moral judgment and decision-making in computational terms. Working jointly towards these two goals will create the opportunity to integrate diverse research questions, bring together multiple academic communities, uncover new interdisciplinary research topics, and shed light on centuries-old philosophical questions.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1016/j.tics.2022.02.009 |
Divisions: | Divisions > Division of Human and Social Sciences > School of Psychology |
Depositing User: | Jim Everett |
Date Deposited: | 23 May 2022 14:20 UTC |
Last Modified: | 05 Nov 2024 13:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/95159 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):