Introduction to the Special I ssue on AI Fairness, Trust and Ethics
dc.contributor.author | Robert, Lionel + "Jr." | |
dc.contributor.author | Bansal, Gaurav | |
dc.contributor.author | Melville, Nigel | |
dc.contributor.author | Stafford, Stafford | |
dc.date.accessioned | 2021-01-12T16:08:13Z | |
dc.date.available | 2021-01-12T16:08:13Z | |
dc.date.issued | 2020-12-30 | |
dc.identifier.citation | Robert, L. P., Gaurav, B., Melville, N. & Stafford, T. (2020). Introduction to the Special Issue on AI Fairness, Trust, and Ethics. AIS Transactions on Human-Computer Interaction, 12(4), pp. 172-178. DOI: 10.17705/1thci.00134. | en_US |
dc.identifier.uri | https://doi.org/10.17705/1thci.00134 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/165312 | |
dc.description.abstract | It is our pleasure to welcome you to this AIS Transactions on Human Computer Interaction special issue on artificial intelligence (AI) fairness, trust, and ethics. This special issue received research papers that unpacked the potential, challenges, impacts, and theoretical implications of AI. This special issue contains four papers that integrate research across diverse fields of study, such as social science, computer science, engineering, design, values, and other diverse topics related to AI fairness, trust, and ethics broadly conceptualized. This issue contains three of the four papers (along with a regular paper of the journal). The fourth or last paper of this special issue is forthcoming in March 2021. We hope that you enjoy these papers and, like us, look forward to similar research published in AIS Transactions on Human Computer Interaction. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | AIS Transactions on Human-Computer Interaction | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | AI Bias | en_US |
dc.subject | AI Fairness | en_US |
dc.subject | AI Trust | en_US |
dc.subject | AI Ethics | en_US |
dc.subject | Algorithmic Fairness | en_US |
dc.subject | Algorithmic Bias | en_US |
dc.title | Introduction to the Special I ssue on AI Fairness, Trust and Ethics | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Ross Business School | en_US |
dc.contributor.affiliationother | University of Wisconsin Green Bay | en_US |
dc.contributor.affiliationother | Louisiana Tech University | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/165312/1/Robert 2020b(Upload).pdf | |
dc.identifier.doi | 10.17705/1thci.00134 | |
dc.identifier.source | AIS Transactions on Human-Computer Interaction | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.owningcollname | Information, School of (SI) |
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