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Who gets held accountable when a facial recognition algorithm fails?

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dc.contributor.authorBroad, Ellen
dc.date.accessioned2023-07-17T02:21:25Z
dc.date.issued2018
dc.date.updated2022-05-08T08:17:12Z
dc.description.abstractArtificial Intelligence (AI) is used in infinite business objectives and policy decisions. Although algorithms are inclined towards the same prejudices - biases even - as us humans. The question beckons, is it possible to make machines either responsible or ethical?en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0816-200Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/294277
dc.language.isoen_AUen_AU
dc.publisherRecords Management Association of Australasiaen_AU
dc.rights© 2018 Records Management Association of Australasiaen_AU
dc.sourceInformaa Quarterlyen_AU
dc.titleWho gets held accountable when a facial recognition algorithm fails?en_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage23en_AU
local.bibliographicCitation.startpage18en_AU
local.contributor.affiliationBroad, Ellen, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidBroad, Ellen, u5036001en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor460200 - Artificial intelligenceen_AU
local.identifier.ariespublicationa383154xPUB26957en_AU
local.identifier.citationvolume34en_AU
local.type.statusPublished Versionen_AU

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