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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.

Oracle Analytics Cloud Dashboard by Benjamin Arnulf presented by Larry Ellison
Illustrative image: Oracle Analytics Cloud Dashboard by Benjamin Arnulf presented by Larry Ellison — GeneralAB13/Wikimedia Commons, CC BY-SA 4.0

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

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