mlsanityData to 7 Oct 2026

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

arXiv 2106.12403 ↗First posted 23 Jun 2021cs.CYcited by 16

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Abstract (arXiv)

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.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jun 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 6; 2023: 3; 2024: 2; 2025: 1; 2026: 4.

16 papers.

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  1. 2022The Fallacy of AI Functionalitycited by 88
  2. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
  3. 2024The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiringcited by 29
  4. 2022An External Stability Audit Framework to Test the Validity of Personality Prediction in AI Hiringcited by 10
  5. 2023Fair Wasserstein Coresetscited by 8
  6. 2022On the Safety of Interpretable Machine Learning: A Maximum Deviation Approachcited by 7
  7. 2025Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigorcited by 7
  8. 2022Adversarial Scrutiny of Evidentiary Statistical Softwarecited by 5
  9. 2023FairWASP: Fast and Optimal Fair Wasserstein Pre-processingcited by 5
  10. 2026Algorithmic Monocultures in Hiringcited by 2
  11. 2024The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technologycited by 1
  12. 2026Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflowscited by 1
4 more
  1. 2022Don't "research fast and break things": On the ethics of Computational Social Sciencecited by 0
  2. 2023The Initial Screening Order Problemcited by 0
  3. 2026Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AIcited by 0
  4. 2026A Chain Is Only as Strong as Its Weakest Link: A Scoping Review of System Integration Audits in AIcited by 0