AI-Driven Tax Compliance: How Explainable AI Transforms Shadow Economy Detection

May 18, 2026Open Access

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Key Points

This research investigates how explainable AI can enhance tax compliance by improving detection of shadow economies.
Utilized a randomized trial design to evaluate the effectiveness of AI algorithms in tax compliance.
Compared outcomes of explainable AI approaches against traditional detection methods.
Engaged with stakeholders in tax administration for implementation and feedback.
Significant improvement in detection rates of shadow economies by 25% using explainable AI (p<0.01).
Enhanced understanding of decision processes led to increased trust in AI outcomes among tax administrators.
Reduction in tax evasion incidents among participants in AI-informed tax systems by 15% over six months.

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Explores AI's role in detecting shadow economies, suggesting transformative impacts on tax compliance.

Research article: AI-Driven Tax Compliance: How Explainable AI Transforms Shadow Economy Detection

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Ivchenko et al. (2026) studied this question.

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