Ethics of Trust/worthiness in Autonomous Systems: a scoping review

Helen Smith*, Arianna Manzini, Mari-Rose Kennedy, Jonathan C S Ives

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)

Abstract

The development of adaptive autonomous systems with evolving functionality (AASEFs) differs from their technological predecessors due to their changing, rather than static, architectures and processes; subsequently, their development, deployment, and implementation creates novel ethical issues. Our scoping review surveys the literature to identify the problematic nature of AASEFs, the ethical worries that they generate, and the ethical principles affected. Our literature examination also ascertains stakeholder needs and solutions regarding the trust and trustworthiness of ASSEFs.
The characteristics of non-explicability and fluctuating behaviour are predominantly problematic of AASEFs. The literature advocates for AASEF development incorporating ‘ethics by design’ with enforceable standards supported via regulatory and legal structures.
Original languageEnglish
Title of host publicationTAS 2023 - Proceedings of the 1st International Symposium on Trustworthy Autonomous Systems
PublisherAssociation for Computing Machinery (ACM)
Pages1-15
ISBN (Electronic)9798400707346
DOIs
Publication statusPublished - 11 Jul 2023
EventFirst International Symposium on Trustworthy Autonomous
Systems (TAS'23)
- Heriot-Watt University in Edinburgh, Edinburgh, United Kingdom
Duration: 11 Jul 202312 Jul 2023
https://symposium.tas.ac.uk/

Publication series

NameACM International Conference Proceeding Series

Conference

ConferenceFirst International Symposium on Trustworthy Autonomous
Systems (TAS'23)
Country/TerritoryUnited Kingdom
CityEdinburgh
Period11/07/2312/07/23
Internet address

Bibliographical note

Funding Information:
The UKRI’s Trustworthy Autonomous Systems Node in Functionality (grant number EP/V026518/1) funded HS, AM, and JI to produce this review.

Funding Information:
JI is in part supported by the NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health and Social Care.

Funding Information:
MRK was funded by emPOWER (EPSRC - EP/T020792/1) when contributing to this work, and is now funded by the NIHR ARC West.

Funding Information:
HS is additionally supported by the Elizabeth Blackwell Institute, University of Bristol via the Wellcome Trust Institutional Strategic Support Fund.

Publisher Copyright:
© 2023 Owner/Author.

Keywords

  • Ethics
  • Autonomous Systems
  • AI
  • Robotics
  • Trust
  • Trustworthiness
  • Literature Review

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