Regulating the Robots: NYC Mandates Bias Audits for Ai-Driven Employment Decisions

14 Pages Posted: 27 Apr 2022

See all articles by Airlie Hilliard

Airlie Hilliard

Institute of Management Studies, Goldsmiths University of London; Holistic AI

Emre Kazim

Holistic AI; University College London

Adriano Koshiyama

Department of Computer Science, University College London

Sara Zannone

Holistic AI

Markus Trengove

Holistic AI

Nigel Kingsman

Holistic AI

Roseline Polle

University College London

Date Written: April 13, 2022

Abstract

The mandating, by New York City, of bias audits for AI-driven employment decisions represents a significant step-change in the regulatory agenda towards greater identification and mitigation of bias in the ethically critical field of recruitment, representing a case study for broader global debates on regulating AI. In this brief, we provide an exposition of the regulation, serving two agendas: firstly providing a summary for those unfamiliar with the legislation aimed at ensuring that AI-driven recruitment tools do not prevent the hiring of a diverse workforce; and secondly, providing a commentary that discusses some shortcomings with the legislation and what it might signal for the future. Our audience is those seeking an introduction and wishing to forward the discussion via critical evaluation. Our primary takeaways are: i. the need for examples; ii. clarification about what ‘compliant’ would look like; and iii. the need for a more standardised approach.

Keywords: Bias, bias mitigation, transparency, artificial intelligence, algorithm, recruitment, psychometrics

Suggested Citation

Hilliard, Airlie and Kazim, Emre and Koshiyama, Adriano and Zannone, Sara and Trengove, Markus and Kingsman, Nigel and Polle, Roseline, Regulating the Robots: NYC Mandates Bias Audits for Ai-Driven Employment Decisions (April 13, 2022). Available at SSRN: https://ssrn.com/abstract=4083189 or http://dx.doi.org/10.2139/ssrn.4083189

Airlie Hilliard (Contact Author)

Institute of Management Studies, Goldsmiths University of London ( email )

United Kingdom

Holistic AI ( email )

18 Soho Square
London, W1D 3QL
United Kingdom

Emre Kazim

Holistic AI ( email )

18 Soho Square
London, W1D 3QH

University College London ( email )

United Kingdom

Adriano Koshiyama

Department of Computer Science, University College London ( email )

Gower Street
London, London WC1E 6BT
United Kingdom

Sara Zannone

Holistic AI ( email )

18 Soho Square
London, W1D 3QL
United Kingdom

Markus Trengove

Holistic AI ( email )

18 Soho Square
W1D 3QH

Nigel Kingsman

Holistic AI ( email )

18 Soho Square
London, W1D 3QL
United Kingdom

Roseline Polle

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

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