Studying Those Who Study Us: An Anthropologist in the World of Artificial Intelligence

By D. Jacobson. 2003

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Six Provocations for Big Data (2011, unknown): “Most researchers who have computational skills at the present moment are male and, as feminist historians and philosophers of science have demonstrated, who is asking the questions determines which questions are asked (Forsythe 2001; Harding 1989).”
Situating methods in the magic of Big Data and AI (2018, background): “Expert systems came to be perceived as “ brittle, ” working only in limited contexts with less than perfect results (Agre, 1995; Forsythe, 2002; Suchman, 2007).”
CRITICAL QUESTIONS FOR BIG DATA (2012, background): “Most researchers who have computational skills at the present moment are male and, as feminist historians and philosophers of science have demonstrated, who is asking the questions determines which questions are asked (Harding 2010; Forsythe 2001 ).”
Cultural Incongruencies in Artificial Intelligence (2022, unknown): “, through “labels” on data, and how “knowledge”, “objectivity” [5], “reality/truth” [24], and “system objectives” are constructed—the cultural norms of the AI developers and researchers also pervasively infuse the AI systems [10, 6, 23].”