
On demand webinars
Foundations for AI governance: Building an effective and scalable program
Get the tactical blueprint for building or scaling an enterprise AI governance program from policy to GRC integration.

Description
You’ll gain insight into how to define AI-specific risk statements, align with enterprise risk appetite, and develop an AI strategy that translates compliance and ethics into day-to-day operations. We’ll also explore how to establish an AI inventory and embed governance across key domains, including third-party risk, data governance, legal, compliance, and operations.
- Draft and formalize an enterprise AI policy aligned to existing risk, compliance, and governance frameworks.
- Design an AI model intake and assessment process, including roles, responsibilities, and integration with GRC tools.
- Define AI-specific risk statements and evaluate whether existing risk appetite statements require revision.
- Develop an enterprise AI strategy that incorporates both innovation objectives and responsible use guardrails.
About the speakers

Corey Minard brings nearly a decade of specialized expertise in regulatory compliance and testing. He played an integral role in developing Crowe’s principles-based AI Governance Framework, aligning it with standards such as NIST AI RMF, ISO 42001, and the AI EU Act. As the AI Model Testing and Validation Offering Lead at Crowe, Corey has earned a distinguished reputation for his proficiency in AI governance, adeptly handling the challenges of independently testing AI models. Additionally, Corey is recognized as one of Crowe's subject matter experts in financial crime model validation testing. His ability to navigate the complexities of emerging technologies while maintaining strict compliance with industry standards and regulatory expectations sets him apart.

Lisa Goldman helps organizations build solutions that help organizations govern their AI. Deep expertise in AI risk management, responsible AI best practices, and compliance.
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