Abstract
Now accounting for over a third of reported crime in England and Wales, fraud has increased in incidence and complexity, propelled by a global pandemic. Crafting criminal law interventions is high on the agenda for policy makers, including the Joint Fraud Taskforce, relaunched in October 2021. The chapter uncovers a recent strong emphasis in policy documents on preventing fraud. Supporting this preventive rhetoric are two under-theorised developments: a move to (i) a public-private partnership ‘fraud-prevention’ infrastructure (ii) facilitated by Artificial Intelligence (AI) and Machine Learning (ML) technologies. I argue for the significance of this emerging regulatory interface with the criminal law, the limits of which must be set by criminal lawyers and guiding principles enumerated.
| Original language | English |
|---|---|
| Title of host publication | Modern Criminal Law |
| Subtitle of host publication | Essays in Honour of GR Sullivan |
| Editors | Andrew Simester |
| Publisher | Hart Publishing |
| Pages | 265-286 |
| Number of pages | 22 |
| Edition | 1 |
| ISBN (Electronic) | 978-1-50995-616-6, 978-1-50995-617-3, 978-1-50995-615-9 |
| ISBN (Print) | 978-1-50995-614-2 |
| DOIs | |
| Publication status | Published - 18 Apr 2024 |
Research Groups and Themes
- Digital Societies
- Centre for Law at Work
Keywords
- Criminal Law
- Fraud
- Emerging technologies
- Artificial Intelligence
- Machine Learning
- Public Private Partnerships
Access to Document
- Full-text PDF (accepted manuscript)
This is the accepted author manuscript (AAM). The final published version (Version of Record) can be found on the publisher's website. The copyright of any third-party content, such as images, remains with the copyright holder.