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.
|Title of host publication||Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings|
|Editors||Vadim Malvone, Aniello Murano|
|Number of pages||19|
|Publication status||Published - 14 Sept 2023|
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|