Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning

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dc.contributor.authorGreene, Daniel
dc.contributor.authorHoffmann, Anna Lauren
dc.contributor.authorStark, Luke
dc.date.accessioned2019-01-03T00:00:45Z
dc.date.available2019-01-03T00:00:45Z
dc.date.issued2019-01-08
dc.description.abstractThis paper uses frame analysis to examine recent high-profile values statements endorsing ethical design for artificial intelligence and machine learning (AI/ML). Guided by insights from values in design and the sociology of business ethics, we uncover the grounding assumptions and terms of debate that make some conversations about ethical design possible while forestalling alternative visions. Vision statements for ethical AI/ML co-opt the language of some critics, folding them into a limited, technologically deterministic, expert-driven view of what ethical AI/ML means and how it might work.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.258
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59651
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd 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.subjectCritical and Ethical Studies of Digital and Social Media
dc.subjectDigital and Social Media
dc.subjectethics, machine learning, artificial intelligence, design, values
dc.titleBetter, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning
dc.typeConference Paper
dc.type.dcmiText

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