How could emerging technologies, such as AI, help to detect and disrupt economic crime?
Background
Alongside the more specific categories for further research, there are some cross-cutting themes where the research questions and gaps are relevant across economic crime as a whole.
This includes how best to understand and respond to the threat as technology develops quickly. For example, how might this technology development influence the response required. There are also gaps in the best research methods to understand economic crime as a whole; for example, around best identification and utilisation of suitable data sources.
Finally, horizon scanning is crucial to maintaining sight of how the threat may evolve and how best to prepare for mitigating that in the future.
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Economic Crime Areas of Research Interest ARI report July 2025 1
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Related UKRI funded projects
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Why might this be relevant?
The project specifically focuses on using AI to detect financial crime, with expertise in financial crime analysis and technology leadership.
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Synalogik: Identifying and tackling Criminal Activist Finances (CAF) through investigation automation.
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The project addresses the detection of criminal activist finances through automation, aligning with the question's focus on using AI to detect economic crime.
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Why might this be relevant?
The project focuses on understanding and responding to organized crime, which is a form of economic crime, but does not specifically address the role of emerging technologies like AI.