Enhancing AI Governance in Financial Services with Robust Data Lineage

The growing use of artificial intelligence (AI) presents tremendous opportunities and risks. AI systems influence critical sectors such as financial services, banking, and insurance, making it vital to establish robust governance frameworks. Effective AI governance relies on data lineage—the ability to trace the journey of data from its origin to its use in AI systems. This process ensures AI-generated decisions are based on trustworthy and accurate data, fostering transparency and accountability.

In this white paper, we explore the relationship between data lineage and AI governance, focusing on how these concepts apply to the financial services sector. We’ll highlight the importance of verification and validation (V&V) and how knowledge graphs enhance AI outputs’ reliability, transparency, and traceability. As financial services organizations increasingly adopt AI to drive decision-making, data lineage will be key in ensuring these systems remain accountable, transparent, and ethical.