A Survey on Ethical Principles of AI and Implementations

Zhou, J; Chen, F; Berry, A; Reed, M; Zhang, S; Savage, S

A Survey on Ethical Principles of AI and Implementations

Zhou, J

Chen, F

Berry, A Reed, M Zhang, S Savage, S

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 2020, 00, pp. 3010-3017
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Zhou, J https://orcid.org/0000-0001-6034-644X
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729
dc.contributor.author	Berry, A
dc.contributor.author	Reed, M
dc.contributor.author	Zhang, S
dc.contributor.author	Savage, S
dc.date	2020-12-01
dc.date.accessioned	2021-03-03T02:30:45Z
dc.date.available	2021-03-03T02:30:45Z
dc.date.issued	2020-12-01
dc.identifier.citation	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 2020, 00, pp. 3010-3017
dc.identifier.isbn	9781728125473
dc.identifier.uri	http://hdl.handle.net/10453/146673
dc.description.abstract	© 2020 IEEE. AI has powerful capabilities in prediction, automation, planning, targeting, and personalisation. Generally, it is assumed that AI can enable machines to exhibit human-like intelligence, and is claimed to benefit to different areas of our lives. Since AI is fueled by data and is a distinct form of autonomous and self-learning agency, we are seeing increasing ethical concerns related to AI uses. In order to mitigate various ethical concerns, national and international organisations including governmental organisations, private sectors as well as research institutes have made extensive efforts by drafting ethical principles of AI, and having active discussions on ethics of AI within and beyond the AI community. This paper investigates these efforts with a focus on the identification of fundamental ethical principles of AI and their implementations. The review found that there is a convergence around limited principles and the most prevalent principles are transparency, justice and fairness, responsibility, non-maleficence, and privacy. The investigation suggests that ethical principles need to be combined with every stages of the AI lifecycle in the implementation to ensure that the AI system is designed, implemented and deployed in an ethical manner. Similar to ethical framework used in biomedical and clinical research, this paper suggests checklist-style questionnaires as benchmarks for the implementation of ethical principles of AI.
dc.language	en
dc.publisher	IEEE
dc.relation	Reejig Pty Ltd
dc.relation.ispartof	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
dc.relation.ispartof	2020 IEEE Symposium Series on Computational Intelligence (SSCI)
dc.relation.isbasedon	10.1109/SSCI47803.2020.9308437
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Survey on Ethical Principles of AI and Implementations
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-03-03T02:30:44Z
pubs.finish-date	2020-12-04
pubs.publication-status	Published
pubs.start-date	2020-12-01
pubs.volume	00

Abstract:

© 2020 IEEE. AI has powerful capabilities in prediction, automation, planning, targeting, and personalisation. Generally, it is assumed that AI can enable machines to exhibit human-like intelligence, and is claimed to benefit to different areas of our lives. Since AI is fueled by data and is a distinct form of autonomous and self-learning agency, we are seeing increasing ethical concerns related to AI uses. In order to mitigate various ethical concerns, national and international organisations including governmental organisations, private sectors as well as research institutes have made extensive efforts by drafting ethical principles of AI, and having active discussions on ethics of AI within and beyond the AI community. This paper investigates these efforts with a focus on the identification of fundamental ethical principles of AI and their implementations. The review found that there is a convergence around limited principles and the most prevalent principles are transparency, justice and fairness, responsibility, non-maleficence, and privacy. The investigation suggests that ethical principles need to be combined with every stages of the AI lifecycle in the implementation to ensure that the AI system is designed, implemented and deployed in an ethical manner. Similar to ethical framework used in biomedical and clinical research, this paper suggests checklist-style questionnaires as benchmarks for the implementation of ethical principles of AI.

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http://hdl.handle.net/10453/146673