A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability
Abstract
In this paper, we suggest a systematic approach for developing socio-technical assessment for hiring ADS. We suggest using a matrix to expose underlying assumptions rooted in pseudoscientific essentialized understandings of human nature and capability, and to critically investigate emerging auditing standards and practices that fail to address these assumptions.
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