AI Risk Management: Safeguarding Our AI-Driven Future
The AI Alliance, launched by IBM and Meta, 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.
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This series consists of five 50-minute virtual sessions starting in fall.
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Session 1
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:
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SR 11-7 Model Risk Management and the FHFA's AB 2022-02: Artificial Intelligence/Machine Learning Risk Management
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NIST’s AI Risk Management Framework (featuring Martin Stanley from the Office of Emerging Technologies at NIST)
Session 2
AI Risk Governance
This session will focus on establishing effective AI governance through clear policies, procedures, and training programs.
Session 3
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 4
CIO & CRO Insights (Mid-sized Companies)
Gain actionable strategies and real-world lessons from Chief Information Officers and Chief Risk Officers.
Session 5
CIO & CRO Insights (Large Companies)
This session continues the discussion, offering further actionable strategies and real-world lessons from Chief Information Officers and Chief Risk Officers.