SHAPE: A Framework for Evaluating the Ethicality of Influence
File(s)
Accepted version
Author(s)
Bezou Vrakatseli, Elfia
Brueckner, Benedikt
Thorburn, Luke
Type
Conference Paper
Abstract
Agents often exert influence when interacting with humans and non-human agents. However, the ethical status of such influence is often unclear. In this paper, we present the SHAPE framework, which lists reasons why influence may be unethical. We draw on literature from descriptive and moral philosophy and connect it to machine learning to help guide ethical considerations when developing algorithms with potential influence. Lastly, we explore mechanisms for governing influential algorithmic systems, inspired by regulation in journalism, human subject research, and advertising.
Date Issued
2023-09-07
Date Acceptance
2023-07-05
Citation
Multi-Agent Systems. EUMAS 2023. Springer Lecture Notes in Computer Science, 2023, 14282
ISBN
978-3-031-43263-7
Journal / Book Title
Multi-Agent Systems. EUMAS 2023. Springer Lecture Notes in Computer Science
Volume
14282
Copyright Statement
Copyright © 2023 Springer-Verlag. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-43264-4_11
Identifier
https://link.springer.com/chapter/10.1007/978-3-031-43264-4_11
Source
European Conference on Multi-Agent Systems
Subjects
Artificial Intelligence & Image Processing
Publication Status
Published
Start Date
2023-09-14
Finish Date
2023-09-15
Coverage Spatial
Naples
Date Publish Online
2023-09-07