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Understanding AI audits: Key risks and best practices
Learn the audit lifecycle, unique considerations, and best practices for managing AI risk, regardless of your organization's maturity level.

Description
- Identify the key risks associated with AI usage and how they may be applied to organizations with varying levels of AI maturity.
- Describe different types of audits that can be performed related to AI, including their objectives and key focus/scope areas.
- Outline the various activities and approaches for the audit lifecycle, focusing on unique AI considerations, best practices, controls, and testing approaches.
About the speakers

Stephanie Gonzales is a Director in the Technology Audit practice at Protiviti, based out of the Phoenix office. As an IT Audit leader with over 18 years of experience, Stephanie has dedicated her career to helping clients manage risk across a broad range of industries, with a focus on AI, Gen AI, IT Governance, IT Project Management, and IT General Controls. As the Emerging Technology Audit Capability Lead, her work focuses on helping organizations manage AI-related risks effectively and implement comprehensive governance controls that align with their strategic objectives. Stephanie has assisted numerous organizations by providing strategic insights and practical solutions that enhance their IT frameworks while also addressing complex challenges introduced by emerging technologies.

Spencer Judd is an Associate Director in Protiviti's Internal Audit practice, where he specializes in Technology risk. His expertise includes conducting internal audits, cybersecurity assessments, AI risk assessments, and financial controls. Spencer supports Protiviti’s Next Gen Internal Audit initiatives, particularly those centered around managing risks and controls associated with Gen AI. With a demonstrated history of success, he has collaborated with clients spanning diverse sectors such as financial services, manufacturing, and consumer products.
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