Operationalizing Trust: A Human-in-the-Loop (HITL) Governance Framework for GenAI in Banking
As financial institutions accelerate the adoption of generative AI and autonomous systems, balancing rapid innovation with regulatory risk and model reliability has become critical. This session breaks down practical architectural patterns for implementing human-in-the-loop (HITL) oversight across enterprise data platforms. We will explore how engineering and data teams can establish automated guardrails, risk controls, and validation gates at scale, moving trust from an abstract concept into day-to-day platform architecture.
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- Starts 09 September 2026 04:00 AM UTC
- Ends 23 October 2026 04:00 AM UTC
- No Admission Charge
Speakers
Prashant Saurabh Singh of Metropolitan Commercial Bank
Biography:
Prashant Saurabh Singh is a technology leader in the New York financial sector specializing in enterprise data platforms and AI strategy. He focuses on scaling cloud solutions, establishing practical data governance, and mitigating operational AI risks. His work bridges the gap between adopting emerging AI capabilities and meeting the strict compliance requirements of the banking industry. He regularly shares his thought leadership and case studies on Data and AI governance at prashantsaurabhsingh.com.
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Address:United States