Introduction to the Minitrack on Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk, and Compliance

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dc.contributor.authorSadovykh, Valeria
dc.contributor.authorSundaram, David
dc.contributor.authorChan, Johnny
dc.date.accessioned2020-12-24T20:18:44Z
dc.date.available2020-12-24T20:18:44Z
dc.date.issued2021-01-05
dc.format.extent2 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2021.760
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71380
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPromises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk, and Compliance
dc.titleIntroduction to the Minitrack on Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk, and Compliance
prism.startingpage6305

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Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk, and Compliance