Computational ethics
Name
1-s2.0-S1364661322000456-main.pdf
Description
Published version
Size
1.6 MB
Format
Adobe PDF
Checksum (MD5)
5fe027575a3b660c51db0768414f7ea1
Author(s)
Awad, Edmond
Levine, Sydney
Anderson, Michael
Anderson, Susan Leigh
Conitzer, Vincent
Crockett, MJ
Everett, Jim AC
Evgeniou, Theodoros
Gopnik, Alison
Jamison, Julian C
Date Issued
2022
Journal
Trends in Cognitive Sciences
Publisher
Elsevier BV
Citation
Awad, Edmond, Levine, Sydney, Anderson, Michael, Anderson, Susan Leigh, Conitzer, Vincent et al. 2022. "Computational ethics." Trends in Cognitive Sciences, 26 (5).
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.TICS.2022.02.009
