SHAPE: A Framework for Evaluating the Ethicality of Influence
Multiagent Systems
2023-11-08 v2
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 algorithmic systems that influence people, inspired by mechanisms used in journalism, human subject research, and advertising.
Cite
@article{arxiv.2309.04352,
title = {SHAPE: A Framework for Evaluating the Ethicality of Influence},
author = {Elfia Bezou-Vrakatseli and Benedikt Brückner and Luke Thorburn},
journal= {arXiv preprint arXiv:2309.04352},
year = {2023}
}
Comments
An earlier version of this paper was accepted at EUMAS 2023