Model Risk Management in the Age of AI: Balancing Innovation, Ethics, and Compliance | RevX 2025
Sam Mylinarski Director, Model Risk Program, Federal Reserve Bank of NY Financial institutions face new risks as AI advances from predictive models to GenAI. This session explores modernizing model risk management frameworks to address emerging threats, ethical concerns, and compliance requirements while maintaining trust and security in AI-driven transformation.
▶︎
Navigating AI and Model Risk Management in Banking
▶︎
Mastering AI Risk: NIST’s Risk Management Framework Explained
▶︎
MIT Professor on How AI & LLMs are Shaping Financial Advice, Analysis, & Risk Management: Part 1
▶︎
Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
▶︎
Project Operations and Finance: Making the right integration choice in practice
▶︎
Rory Sutherland: Why Cost Reduction Isn't A Strategy
▶︎
Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
▶︎
Conan O’Brien Mocks Trump At Harvard Commencement | Crowd Erupts During Viral Speech
▶︎
Guide to Architect Secure AI Agents: Best Practices for Safety
▶︎
Machine Learning Model Risk Management with Wells Fargo
▶︎
How to Secure AI Business Models
▶︎
What do tech pioneers think about the AI revolution? - The Engineers, BBC World Service
▶︎
What Is Model Risk? The Hidden Danger Behind Banking
▶︎
Risk Management in the Era of AI for Project Management
▶︎
AI Compliance & Risk Management: Best Practices with Santosh Kaveti
▶︎
Andrew Ng: Building Faster with AI
▶︎
Model Risk Management 061021
▶︎
This is not the AI we were promised | The Royal Society
▶︎
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
▶︎