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All that glitters is not gold: trustworthy and ethical AI principles

Connor Rees Orcid Logo, Bertie Muller

AI and Ethics, Volume: 3, Pages: 1241 - 1254

Swansea University Author: Bertie Muller

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DOI (Published version): 10.1007/s43681-022-00232-x

Abstract

Ethics of technology systems have become an area of interest in academic research as well as international policy in recent years. Several organisation have consequently published principles of ethical artificial intelligence (AI) in line with this trend. The documents identify principles, values, a...

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Published in: AI and Ethics
ISSN: 2730-5953 2730-5961
Published: Springer Science and Business Media LLC 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa61758
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first_indexed 2022-11-02T11:58:18Z
last_indexed 2023-01-27T04:15:43Z
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spelling v2 61758 2022-11-02 All that glitters is not gold: trustworthy and ethical AI principles a9373756f492363d8453ecf3b828b811 Bertie Muller Bertie Muller true false 2022-11-02 MACS Ethics of technology systems have become an area of interest in academic research as well as international policy in recent years. Several organisation have consequently published principles of ethical artificial intelligence (AI) in line with this trend. The documents identify principles, values, and other abstract requirements for AI development and deployment. Critics raise concerns about whether these documents are in fact constructive, or if they are produced as a higher form of virtue signalling. A theme that is beginning to become apparent in the academic literature regarding these documents is the inherent lack of effective and practical methods and processes for producing ethical AI. This article attempts a critical analysis which draws upon ethical AI documents from a range of contexts including company, organisational, governmental, and academic perspectives. Both the theoretical and practical components of AI guidelines are explored and analysed, consequently bringing to light the necessity of introducing a measurable component to such documents for the purpose of ensuring a positive outcome of deploying AI systems based on ethical principles. We propose a minimal framework for stakeholders to develop AI in an ethical and human-centred manner. Journal Article AI and Ethics 3 1241 1254 Springer Science and Business Media LLC 2730-5953 2730-5961 AI ethics; AI regulation; AI security; Policy; Design guidelines; Human–AI interaction 16 11 2022 2022-11-16 10.1007/s43681-022-00232-x COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) Connor Rees is funded by the EPSRC CENTRE FOR DOCTORAL TRAINING IN ENHANCING HUMAN INTERACTIONS AND COLLABORATIONS WITH DATA AND INTELLIGENCE DRIVEN SYSTEMS (EP/S021892/1). 2024-09-16T12:55:10.9275692 2022-11-02T11:54:15.0778587 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Connor Rees 0000-0001-6775-6580 1 Bertie Muller 2 61758__25952__946f9a2a83f04edc9e891117c2a6b81d.pdf 61758_VoR.pdf 2022-11-29T14:52:24.1824694 Output 1805555 application/pdf Version of Record true © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/
title All that glitters is not gold: trustworthy and ethical AI principles
spellingShingle All that glitters is not gold: trustworthy and ethical AI principles
Bertie Muller
title_short All that glitters is not gold: trustworthy and ethical AI principles
title_full All that glitters is not gold: trustworthy and ethical AI principles
title_fullStr All that glitters is not gold: trustworthy and ethical AI principles
title_full_unstemmed All that glitters is not gold: trustworthy and ethical AI principles
title_sort All that glitters is not gold: trustworthy and ethical AI principles
author_id_str_mv a9373756f492363d8453ecf3b828b811
author_id_fullname_str_mv a9373756f492363d8453ecf3b828b811_***_Bertie Muller
author Bertie Muller
author2 Connor Rees
Bertie Muller
format Journal article
container_title AI and Ethics
container_volume 3
container_start_page 1241
publishDate 2022
institution Swansea University
issn 2730-5953
2730-5961
doi_str_mv 10.1007/s43681-022-00232-x
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description Ethics of technology systems have become an area of interest in academic research as well as international policy in recent years. Several organisation have consequently published principles of ethical artificial intelligence (AI) in line with this trend. The documents identify principles, values, and other abstract requirements for AI development and deployment. Critics raise concerns about whether these documents are in fact constructive, or if they are produced as a higher form of virtue signalling. A theme that is beginning to become apparent in the academic literature regarding these documents is the inherent lack of effective and practical methods and processes for producing ethical AI. This article attempts a critical analysis which draws upon ethical AI documents from a range of contexts including company, organisational, governmental, and academic perspectives. Both the theoretical and practical components of AI guidelines are explored and analysed, consequently bringing to light the necessity of introducing a measurable component to such documents for the purpose of ensuring a positive outcome of deploying AI systems based on ethical principles. We propose a minimal framework for stakeholders to develop AI in an ethical and human-centred manner.
published_date 2022-11-16T12:55:11Z
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