EETAS: A Process for Examining Ethical Trade-Offs in Autonomous Systems

Catherine Menon, Silvio Carta, Frank Foerster

2022

Abstract

Public-facing autonomous systems present society with significant ethical challenges, not least of which is the need for stakeholder understanding and discussion of how these systems balance competing ethical principles. In this paper we present EETAS: a structured, gamified process for obtaining stakeholder input into the ethical balances and trade-offs which they consider it acceptable for a proposed autonomous system to make. We describe how outcomes from the EETAS process can be used to inform the design of specified autonomous systems, as well as how the process itself can improve stakeholder engagement and public understanding of ethics in AI and autonomous systems. In support of this we present the findings from an initial EETAS pilot study workshop, which shows an indicative trend of improvement in public understanding and engagement with AI following participation.

Paper Citation

in Harvard Style

Menon C., Carta S. and Foerster F. (2022). EETAS: A Process for Examining Ethical Trade-Offs in Autonomous Systems. In Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-609-5, pages 249-256. DOI: 10.5220/0011560900003323

in Bibtex Style

@conference{chira22,
author={Catherine Menon and Silvio Carta and Frank Foerster},
title={EETAS: A Process for Examining Ethical Trade-Offs in Autonomous Systems},
booktitle={Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2022},
pages={249-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011560900003323},
isbn={978-989-758-609-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - EETAS: A Process for Examining Ethical Trade-Offs in Autonomous Systems
SN - 978-989-758-609-5
AU - Menon C.
AU - Carta S.
AU - Foerster F.
PY - 2022
SP - 249
EP - 256
DO - 10.5220/0011560900003323