Preventing Machines From Lying: Why Interdisciplinary Collaboration is Essential for Understanding Artefactual or Artefactually Dependent Expert Evidence

Tim J. Wilson*, Jesper Bergman, Adam Jackson, Oliver B. Popov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

This article demonstrates a significantly different approach to managing probative risks arising from the complex and fast changing relationship between law and computer science. Law’s historical problem in adapting to scientific and technologically dependent evidence production is seen less as a socio-techno issue than an ethical failure within criminal justice and state institutions. This often arises because of an acceptance of epistemological incomprehension between lawyers and scientists. Something compounded by the political economy of criminal justice and safeguard evasion within state institutions. What is required is an exceptionally broad interdisciplinary collaboration to enable criminal justice decision-makers to understand and manage the risk of further ethical failure. If academic studies of law and technology are to address practitioner concerns, it may often be necessary, however, to step down the doctrinal analysis to a specific jurisdictional level.
Original languageEnglish
Pages (from-to)105-129
Number of pages25
JournalThe Journal of Criminal Law
Volume88
Issue number2
Early online date22 Jan 2024
DOIs
Publication statusPublished - 1 Apr 2024

Keywords

  • Explaining/understating AI/ML-assisted decisions
  • interdisciplinary methodology in law and technology studies
  • neoliberalism
  • ethics and criminal justice systems

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