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dc.contributor.author Sweeney, Miriam E.
dc.date.accessioned 2019-11-19T15:26:29Z
dc.date.available 2019-11-19T15:26:29Z
dc.date.issued 2019
dc.identifier.citation Sweeney, M. E. (forthcoming 2020): Digital Assistants. In D.Agostinho, C. D'Ignazio, A. Ring, N.B. Thylstrup & K. Veel (Eds.). Uncertain Archives. MIT Press.
dc.identifier.uri http://ir.ua.edu/handle/123456789/6348
dc.description.abstract In machine learning, "uncertainty" describes the margin of error of a given measurement as a range of values most likely to contain the "true" data value. A critical cultural approach to digital assistants reframes uncertainty into a strategy of inquiry that foregrounds the range of cultural values embedded in digital assistants. This is particularly useful for exposing what sorts of ideological "truths" are enclosed and/or foreclosed as part and parcel of the design, implementation, and use of these technologies. Exploring the anthropomorphic design of digital assistants through feminist and critical race lenses requires us to confront how dominant ideologies about race, gender and technology forma a kind of cultural infrastructure that undergirds technology design and practice. From this perspective, uncertainties emerge about the "common sense" of anthropomorphic design of digital assistants, particularly surrounding how this design strategy is employed in ways that target vulnerable communities at the behest of state, corporate, and commercial interests. en
dc.format.mimetype application/pdf en_US
dc.language English en_US
dc.language.iso en_US
dc.subject Digital Assistants en_US
dc.subject Big data en_US
dc.subject Inter/facing digital assistants en_US
dc.subject Anthropomorphic design en_US
dc.title Digital Assistants en_US
dc.type text en_US


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