SHAPE: A Framework for Evaluating the Ethicality of Influence

Elfia Bezou-Vrakatseli; Benedikt Brückner; Luke Thorburn

doi:10.1007/978-3-031-43264-4_11

SHAPE: A Framework for Evaluating the Ethicality of Influence

Elfia Bezou-Vrakatseli, Benedikt Brückner, Luke Thorburn

Informatics

Imperial College London

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings
Editors	Vadim Malvone, Aniello Murano
Pages	167-185
Number of pages	19
DOIs	https://doi.org/10.1007/978-3-031-43264-4_11
Publication status	Published - 14 Sept 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14282 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-031-43264-4_11

https://arxiv.org/abs/2309.04352

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Bezou-Vrakatseli, E., Brückner, B., & Thorburn, L. (2023). SHAPE: A Framework for Evaluating the Ethicality of Influence. In V. Malvone, & A. Murano (Eds.), Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings (pp. 167-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14282 LNAI). https://doi.org/10.1007/978-3-031-43264-4_11

Bezou-Vrakatseli, Elfia ; Brückner, Benedikt ; Thorburn, Luke. / SHAPE: A Framework for Evaluating the Ethicality of Influence. Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings. editor / Vadim Malvone ; Aniello Murano. 2023. pp. 167-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Bezou-Vrakatseli, E, Brückner, B & Thorburn, L 2023, SHAPE: A Framework for Evaluating the Ethicality of Influence. in V Malvone & A Murano (eds), Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14282 LNAI, pp. 167-185. https://doi.org/10.1007/978-3-031-43264-4_11

SHAPE: A Framework for Evaluating the Ethicality of Influence. / Bezou-Vrakatseli, Elfia; Brückner, Benedikt; Thorburn, Luke.
Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings. ed. / Vadim Malvone; Aniello Murano. 2023. p. 167-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14282 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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Bezou-Vrakatseli E, Brückner B, Thorburn L. SHAPE: A Framework for Evaluating the Ethicality of Influence. In Malvone V, Murano A, editors, Multi-Agent Systems - 20th European Conference, EUMAS 2023, Proceedings. 2023. p. 167-185. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2023 Sept 7. doi: 10.1007/978-3-031-43264-4_11

SHAPE: A Framework for Evaluating the Ethicality of Influence

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