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Agentic Regulatory AI for Dynamic Income Tax Assessment and Explainable Fraud Analytics
An IEEE proceedings article presenting an artificial-intelligence approach for automated income-tax assessment and explainable fraud analytics. Published by IEEE as a conference proceedings article on 2026-08-01.
Categories: technology, economy-and-trade
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 5/10
- Geographic reach
- 2/10
- Global importance
- 3/10
- Impact magnitude
- 3/10
- Positivity
- 6/10
- Urgency
- 2/10
Why it matters
The paper addresses AI methods for tax assessment and fraud analytics, a topic relevant to tax administration and regulatory systems.
Sources
- Agentic Regulatory AI for Dynamic Income Tax Assessment and Explainable Fraud AnalyticsMetadata provided by Crossref. Usage terms

