What factors might influence the scale of money laundering, corruption and fraud, e.g. technologies like AI, or economic factors?
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
Get in touch with NECC-IF-Research@nca.gov.uk EconomicCrimeResearch@homeoffice.gov.uk
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
Topics
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Related UKRI funded projects
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Corruption in (Non-)Criminal Commercial Enterprise: Law, Theory and Practice
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Why might this be relevant?
Addresses corruption and organised crime in commercial enterprises, including the use of technologies like AI.
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Fight Against Large-scale Corruption and Organised Crime Networks (FALCON)
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Why might this be relevant?
Focuses on fighting large-scale corruption and organised crime networks using data-driven approaches and technology.
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RedFlag - A revolutionary AI powered platform to detect financial crime
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Funded by: Innovate UK
Why might this be relevant?
AI platform to detect financial crime, but does not specifically address factors influencing scale of money laundering, corruption, and fraud.