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This chapter explores the potential of artificial intelligence (AI) to enhance organizational conformance by addressing the shortcomings of traditional approaches to financial crime prevention. It examines how emerging technologies can increase the risk and reduce the convenience of criminal activity, while supporting ethical business practices. The treatment applies signal detection theory (SDT) to assess how meaningful indicators—signals—can be identified amid organizational noise and uncertainty. It also integrates agency, institutional, and convenience theories to evaluate how AI systems function within complex organizational contexts. Insights from expert interviews further illuminate the enablers and barriers to successful AI implementation for crime reduction and conformance. The chapter develops to consider the limitations of traditional management approaches to combating financial crime; how can novel technological inventions be applied toward making criminal activities less convenient and riskier for offenders, presenting a review of critical success factors versus failure factors in the management of artificial intelligence systems?

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Managing Crime Reduction: Toward Conformance by Artificial Intelligence

  • 章节

  • 发表日期：

    2025年

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  • Petter Gottschalk,
  • Christopher Hamerton

摘要

This chapter explores the potential of artificial intelligence (AI) to enhance organizational conformance by addressing the shortcomings of traditional approaches to financial crime prevention. It examines how emerging technologies can increase the risk and reduce the convenience of criminal activity, while supporting ethical business practices. The treatment applies signal detection theory (SDT) to assess how meaningful indicators—signals—can be identified amid organizational noise and uncertainty. It also integrates agency, institutional, and convenience theories to evaluate how AI systems function within complex organizational contexts. Insights from expert interviews further illuminate the enablers and barriers to successful AI implementation for crime reduction and conformance. The chapter develops to consider the limitations of traditional management approaches to combating financial crime; how can novel technological inventions be applied toward making criminal activities less convenient and riskier for offenders, presenting a review of critical success factors versus failure factors in the management of artificial intelligence systems?