Hands-On AI Risk Assessment with Open Tools
This session introduces practical, code-based AI risk assessments using open-source tools, ideal for technical teams looking to evaluate fairness, robustness, and transparency.
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Singapore
Vidyaraman Sankaranarayanan is the Chief Product Officer at DeepDive Labs, a Singapore-based AI and data consultancy. He has led product strategy and execution across the company’s GenAI training, regulatory risk management, and compliance automation platforms.
Before DeepDive Labs, Vidyaraman spent over a decade at Microsoft in both Redmond and Singapore, where he held cross-functional roles spanning product design, compliance architecture, and security innovation. He was the Risk Architect for Office 365 in APAC, managing audits for financial services clients. He also spearheaded several product initiatives, including compliant user notifications, Office Mobile user acquisition experiments, and the Social Share plug-in for PowerPoint. Earlier, he was the PM for UX and classification efforts on Data Loss Prevention (DLP) in Outlook and Exchange, implementing features like "Policy Tips" and sensitive content detection using regex, probabilistic models, and fingerprinting. His contributions blended engineering rigor with user-centered design, especially in regulated environments.
He holds a Ph.D. in Computer Science from the University at Buffalo, where he authored a dissertation on game-theoretic approaches to security design, and an M.S. in Computer Engineering from the University of Kansas. His 15+ year career spans enterprise product development, AI-driven regulatory tooling, and risk-aware UX design.
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