Ethics and privacy of artificial intelligence: Understandings from bibliometrics

Zhang, Y; Wu, M; Tian, GY; Zhang, G; Lu, J

Ethics and privacy of artificial intelligence: Understandings from bibliometrics

Zhang, Y

Wu, M

Tian, GY Zhang, G

Lu, J

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Knowledge-Based Systems, 2021, 222
Issue Date:: 2021-06-21

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Field	Value	Language
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301
dc.contributor.author	Wu, M https://orcid.org/0000-0003-3956-7808
dc.contributor.author	Tian, GY
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732
dc.date.accessioned	2021-10-25T21:12:25Z
dc.date.available	2021-10-25T21:12:25Z
dc.date.issued	2021-06-21
dc.identifier.citation	Knowledge-Based Systems, 2021, 222
dc.identifier.issn	0950-7051
dc.identifier.issn	1872-7409
dc.identifier.uri	http://hdl.handle.net/10453/151211
dc.description.abstract	Artificial intelligence (AI) and its broad applications are disruptively transforming the daily lives of human beings and a discussion of the ethical and privacy issues surrounding AI is a topic of growing interest, not only among academics but also the general public This review identifies the key entities (i.e., leading research institutions and their affiliated countries/regions, core research journals, and communities) that contribute to the research on the ethical and privacy issues in relation to AI and their intersections using co-occurrence analysis. Topic analyses profile the topical landscape of AI ethics using a topical hierarchical tree and the changing interest of society in AI ethics over time through scientific evolutionary pathways. We also paired 15 selected AI techniques with 17 major ethical issues and identify emerging ethical issues from a core set of the most recent articles published in Nature, Science, and Proceedings of the National Science Academy of the United States. These insights bridging the knowledge base of AI techniques and ethical issues in the literature, are of interest to the AI community and audiences in science policy, technology management, and public administration.
dc.language	English
dc.publisher	ELSEVIER
dc.relation	http://purl.org/au-research/grants/arc/DE190100994
dc.relation.ispartof	Knowledge-Based Systems
dc.relation.isbasedon	10.1016/j.knosys.2021.106994
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, 17 Psychology and Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Ethics and privacy of artificial intelligence: Understandings from bibliometrics
dc.type	Journal Article
utslib.citation.volume	222
utslib.for	08 Information and Computing Sciences
utslib.for	15 Commerce, Management, Tourism and Services
utslib.for	17 Psychology and Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Law
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2021-10-25T21:12:20Z
pubs.publication-status	Published
pubs.volume	222

Abstract:

Artificial intelligence (AI) and its broad applications are disruptively transforming the daily lives of human beings and a discussion of the ethical and privacy issues surrounding AI is a topic of growing interest, not only among academics but also the general public This review identifies the key entities (i.e., leading research institutions and their affiliated countries/regions, core research journals, and communities) that contribute to the research on the ethical and privacy issues in relation to AI and their intersections using co-occurrence analysis. Topic analyses profile the topical landscape of AI ethics using a topical hierarchical tree and the changing interest of society in AI ethics over time through scientific evolutionary pathways. We also paired 15 selected AI techniques with 17 major ethical issues and identify emerging ethical issues from a core set of the most recent articles published in Nature, Science, and Proceedings of the National Science Academy of the United States. These insights bridging the knowledge base of AI techniques and ethical issues in the literature, are of interest to the AI community and audiences in science policy, technology management, and public administration.

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http://hdl.handle.net/10453/151211