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

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dc.contributor.author Sundaram, David
dc.contributor.author Craig, Kevin
dc.contributor.author Sadovykh , Valeria
dc.date.accessioned 2021-12-24T18:14:10Z
dc.date.available 2021-12-24T18:14:10Z
dc.date.issued 2022-01-04
dc.format.extent 2 pages
dc.identifier.doi 10.24251/HICSS.2022.725
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/80065
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Balancing the Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance
dc.title Introduction to the Minitrack on Balancing the Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance
dc.type.dcmi text
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Balancing the Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance