EconPapers    
Economics at your fingertips  
 

Generative Artificial Intelligence for Compliance Risk Analysis: Applications in Tax and Customs Administration

Joshua Aslett, Thomas Cantens, François Chastel, Emmanuel Crown and Stuart Hamilton

No 2025/013, IMF Technical Notes and Manuals from International Monetary Fund

Abstract: This technical note provides an introduction to generative artificial intelligence (GenAI) and its potential to support compliance risk analysis in tax and customs administration. Written primarily for a technical audience, it seeks to raise awareness of GenAI by explaining and demonstrating its capabilities. The note opens with a brief conceptual overview of GenAI technology. It then describes four generalized use cases where GenAI can augment the work of risk analysts. As experimental proofs of concept, a selection of worked examples is presented. Having demonstrated GenAI’s potential, the note then provides basic guidelines to help administrations that may be considering implementing the technology in an operational setting. It concludes with forward-looking statements on likely developments.

Keywords: tax administration; customs administration; artificial intelligence; generative artificial intelligence; compliance risk analysis; advanced analytics; information technology; ASYCUDA (search for similar items in EconPapers)
Pages: 63
Date: 2025-08-08
New Economics Papers: this item is included in nep-cmp, nep-fmk and nep-rmg
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=567429 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:imf:imftnm:2025/013

Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm

Access Statistics for this paper

More papers in IMF Technical Notes and Manuals from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().

 
Page updated 2025-09-29
Handle: RePEc:imf:imftnm:2025/013