Introduction to the Minitrack on Accountability, Evaluation, and Obscurity of AI Algorithms

Simple item page
dc.contributor.authorJuric, Radmila
dc.contributor.authorSteele, Robert
dc.date.accessioned2022-12-27T18:55:02Z
dc.date.available2022-12-27T18:55:02Z
dc.date.issued2023-01-03
dc.format.extent1
dc.identifier.doihttps://doi.org/10.24251/HICSS.2023.089
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.other416da63b-cd83-41ab-9309-a27221dd6279
dc.identifier.urihttps://hdl.handle.net/10125/102718
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th 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.subjectAccountability, Evaluation, and Obscurity of AI Algorithms
dc.titleIntroduction to the Minitrack on Accountability, Evaluation, and Obscurity of AI Algorithms
dc.type.dcmitext
prism.startingpage711

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
m-intro-0020.pdf
Size:
258.74 KB
Format:
Adobe Portable Document Format
Download

Collections

Accountability, Evaluation, and Obscurity of AI Algorithms