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Priyanka Chugh

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Review Open access Jul 2026

Explainable Artificial Intelligence in Financial Fraud Detection: A Systematic Review and FinTech-Oriented ADO–TCCM Meta-Framework for Trust, Governance, and Transparency

The study introduces the Stability–Transparency–Reliability (STR) model, which advances TPB, Socio-Technical Systems Theory, and the Dynamic Capabilities View by reframing XAI from a static interpretability output into a recursive governance capability, formalised through the concept of Interpretative Agility, with direct implications for financial institutions operating under the EU AI Act.

Devansh Gupta, Priyanka Chugh, Kiran Sood et al. · 0 citations
Review Jul 2026

Mapping the Intellectual Landscape of AI-powered Financial Fraud Detection: Insights from Bibliometric and Thematic Analysis

This study offers an evidence-based account of how AI in fraud detection has evolved and proposes a future research agenda emphasizing transparency, ethical assurance and global governance alignment, advancing financial risk management through conceptual clarity, methodological guidance and actionable pathways for responsible AI adoption.

Devansh Gupta, Priyanka Chugh, Poonam Mahajan · 0 citations