Re-thinking Bias in the Age of Automation

Sarah Lim

    Research output: Contribution to journalArticlepeer-review


    This article explores the applicability of the rule against bias to administrative decisions made wholly by automated systems, questioning the ability of Australia's administrative law system to adapt to increasing digitalisation and automation of government processes. By examining the behaviour and characteristics of neural networks, this article demonstrates the ways in which bias may infuse the decisions of predictive automated systems. It subsequently reveals the difficulties courts will likely face in transposing the rule against bias to automated decision-makers, thus advocating the use of alternative grounds of judicial review to remedy defective decisions. Ultimately, the relevancy and reasonableness grounds; despite their similarly human focus, are identified as the most amenable to judicial modification.
    Original languageEnglish
    Pages (from-to)35-44
    JournalAustralian Journal of Administrative Law
    Issue number1
    Publication statusPublished - 2019


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