A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability

TL;DR

This paper proposes a systematic socio-technical assessment method for hiring algorithms, using a matrix to reveal pseudoscientific assumptions and critically evaluate auditing standards and practices.

Contribution

It introduces a novel matrix-based approach to scrutinize underlying assumptions in hiring algorithms and auditing standards, addressing gaps in current practices.

Findings

Identifies pseudoscientific assumptions in hiring algorithms

Proposes a matrix tool for socio-technical assessment

Critiques current auditing standards for lacking critical investigation

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.