Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
As AI reshapes business operations, it brings unique and dynamic risks that traditional audits may not fully cover. In this session, Cal Al-Dhubaib will discuss how you can help evolve internal audit practices to address specific risks posed by AI and generative AI, including data quality, model quality, standards compliance, and more. You’ll learn how to uncover potential vulnerabilities and mitigate risks in ways that align with emerging regulations.
This talk is designed for business executives and data practitioners who want a better grasp of AI risk management. Al-Dhubaib will cover:
- The distinctive challenges of AI audits, including evolving standards
- Common challenges to look out for, including data quality and model quality
- An overview of the types of harms and errors to safeguard against
- Practical tools and credentials to help your organization prepare for effective AI oversight