AI Risk Management: Safeguarding Our AI-Driven Future

The AI Alliance and Himalaya Quantitative Solutions (HQS) are proud to host a seminar series exploring the critical aspects of AI safety and trust across multiple industries. This series will draw on lessons from finance and examine their application in various sectors, leveraging HQS founder's 20 years of experience in AI/model risk management and the collaborative efforts with the AI Alliance.

This series consists of four 60-minute virtual sessions starting in January 2026.

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Session 1

GenAI Risk Governance

Jan. 15, 2026, 2:30-3:30 p.m. EST

Gain actionable strategies and real-world lessons from Chief Information Officers and Chief Risk Officers.

Moderator:
  • Jenny Yu – Founder, HQS; Director, Model Risk Management and Methods, FHLB Topeka
Session 2

AI Risk Assessment & Mitigation Tools

Explore practical tools and methodologies for identifying, evaluating, and reducing AI-related risks. We will feature insights from Meta, IBM + the AI Alliance, Google, and Carnegie Mellon University.

Session 3

Leveraging Existing AI Risk Management Frameworks from Regulatory Agencies

You don't have to reinvent the wheel when managing AI risk. While generative AI presents unique challenges, many existing risk management processes can be leveraged to enhance your AI risk management strategy. This session will cover:

Session 4

CIO & CRO Insights

This session continues the discussion, offering further actionable strategies and real-world lessons from Chief Information Officers and Chief Risk Officers.

Register for the Series

Secure your spot for all four sessions