AI
Free
Singapore (足球竞彩网)
Wednesday, 24 September, 2025
5:30
–
6:30
pm
+08
Comparing AI Risk Assessment Frameworks & Tools: When, What, and Why
About This Event
There are now many tools to help teams assess AI risk — but how do you know which one is right for your needs? In this one-hour session, we’ll compare several frameworks and tools and show how they fit into different stages of AI development and deployment.
We’ll look at options like AI Verify Toolkit, Moonshot, AIF360, and Microsoft’s Responsible AI Dashboard. You’ll learn which tools work best for startups vs large enterprises with open vs proprietary frameworks. This session is ideal for tech leaders planning their AI audit or governance roadmap.
Takeaways
Understand the strengths of common AI risk tools
Know which frameworks and tools fit different company sizes and model types
Learn when to use each tool — before or after deployment
Get ideas for building a practical AI audit plan
About the Instructor
Vidyaraman Sankaranarayanan
Chief Product Officer, DeepDive Labs
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.
About Our Partners
DeepDive Labs is a consultancy that designs and develops custom SaaS tools and LLM-powered workflows for use cases such as responsible AI, cloud cost engineering, and AI risk management. In addition to tooling, it offers mid-career educational programs as a core part of its services—delivering focused, interactive courses and workshops tailored to teachers, students, and working professionals. Together, these offerings support the practical adoption of emerging technologies and evolving regulatory standards.
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