Artificial Intelligence in Welfare: Striking the Vulnerability Balance?

Carney, T., ‘Artificial Intelligence in Welfare: Striking the vulnerability balance? (2020) 46(2) Monash University Law Review Advance 1-29 DOI https://doi.org/10.26180/13370369.v1

36 Pages Posted: 5 Apr 2021

See all articles by Terry Carney AO

Terry Carney AO

The University of Sydney Law School

Date Written: March 15, 2021

Abstract

Artificial intelligence in public administration is both inevitable and potentially quite beneficial. Its assistive form offers access, efficiency and convenience; while the gains potentially are even larger in its augmentive ‘machine learning’ form. Offsetting risks include disadvantaging technology poor clients, and poor design which fails adequately to reflect social welfare principles or provide adequate accountability and redress for errors; a risk heightened for machine learning. This paper reviews some of the different forms and settings for AI in social security and argues that the Australian experience to date has been very mixed due to poor or rushed AI designs, poor understanding of client characteristics, and inadequate understanding of dynamics within contracted-out government services settings.

Keywords: artificial intelligence, expert systems, machine learning, social security, evaluation

JEL Classification: K10, K30, K36, K40

Suggested Citation

Carney AO, Terry, Artificial Intelligence in Welfare: Striking the Vulnerability Balance? (March 15, 2021). Carney, T., ‘Artificial Intelligence in Welfare: Striking the vulnerability balance? (2020) 46(2) Monash University Law Review Advance 1-29 DOI https://doi.org/10.26180/13370369.v1, Available at SSRN: https://ssrn.com/abstract=3805329 or http://dx.doi.org/10.2139/ssrn.3805329

Terry Carney AO (Contact Author)

The University of Sydney Law School ( email )

New Law Building, F10
The University of Sydney
Sydney, NSW 2006
Australia

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