# Balancing Innovation and Oversight: AI in the U.S. Treasury and IRS: A Survey

arXiv: https://arxiv.org/abs/2509.16294 · HTML: https://mlsanity.com/paper/2509.16294/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2025.

## Built on by (most cited first, 1 of 1)

- [Extracting Training Data from Diffusion Language Models via Infilling](https://mlsanity.com/paper/2605.24173/) (2026)

## Abstract (arXiv)

This paper explores how the U.S. Department of Treasury, particularly the Internal Revenue Service (IRS), is adopting artificial intelligence (AI) to modernize tax administration. Using publicly available information, the survey highlights the applications of AI for taxpayer support, operational efficiency, fraud detection, and audit optimization. Key initiatives include AI-powered chatbots, robotic process automation, machine learning for case selection, and advanced analytics for fraud prevention. These technologies aim to reduce errors, improve efficiency, and improve taxpayer experiences. At the same time, the IRS is implementing governance measures to ensure responsible use of AI, including privacy safeguards, transparency initiatives, and oversight mechanisms. The analysis shows that the Treasury AI strategy balances technological innovation with legal compliance, confidentiality, and public trust, reflecting a wider effort to modernize aging systems while maintaining accountability in tax collection and enforcement.