Tarot as a technology of care

Lustig, Caitlin; Wu, Hong-An (Ann)

doi:10.1145/3536392

Cited by 2 publications

(1 citation statement)

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“…Drawing from speculative approaches, this work has sought to use artistic and exploratory experimentation with algorithmic systems and related data practices to probe the limits and potentialities of "bias, " material and cultural phenomenon. In a series of works [8,49,69,70], Gabrielle Benabdallah, Chari Glogovac-Smith, Afroditi Psarra, Caitlin Lustig and several others have examined "bias" through textile etymologies, where the term refers to the angular cross grain of woven fabric. With exercises such as "cutting on the bias" [69] (the diagonal) of fabric to create a data set, they examine how the production of data requires making choices about where to make cuts or lines between what is in and out-reflecting both the environment and the dataset creator (their assumptions, skills, tools etc).…”

Section: Design and Biasmentioning

confidence: 99%

Folklore at the University of Oregon:

Sherman¹

2020

Folklore in the United States and Canada

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This paper explores the value of archival theory as a means of grappling with bias in algorithmic design. Rather than seek to mitigate biases perpetuated by datasets and algorithmic systems, archival theory offers a reframing of bias itself. Drawing on a range of archival theory from the fields of history, literary and cultural studies, Black studies, and feminist STS, we propose absence-as power, presence, and productive-as a concept that might more securely anchor investigations into the causes of algorithmic bias, and that can prompt more capacious, creative, and joyful future work. This essay, in turn, can intervene into the technical as well as the social, historical, and political structures that serve as sources of bias.CCS Concepts: • Human-centered computing → Interaction design theory, concepts and paradigms.

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