Transparent ETL and Data Lineage Frameworks: Building Trustworthy AI for Financial Services

Authors

  • Sushil Kumar Tiwari

Keywords:

Trustworthy AI, Data Lineage, Transparent ETL, Financial Compliance, Explainable AI

Abstract

In the era of artificial intelligence-driven finance, trust, explainability, and regulatory compliance havebecome paramount for financial institutions deploying AI systems for critical decision-making processes.The reliability and trustworthiness of any AI model fundamentally depend on the quality, transparency,and traceability of its underlying data pipelines, making transparent ETL processes and comprehensive data lineage tracking essential components

References

Saqib Aziz & Michael Dowling, "AI and Machine Learning for Risk Management," ResearchGate, January 2018. [Online]. Available:

https://www.researchgate.net/publication/326191984_AI_and_Machine_Learning_for_Risk_Management

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Published

2025-12-19

How to Cite

Sushil Kumar Tiwari. (2025). Transparent ETL and Data Lineage Frameworks: Building Trustworthy AI for Financial Services . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 568–578. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4446

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Section

Articles