Are you and your organization using AI effectively today? AI isn't coming, it's already here. As a leader, you don't need to be an engineer, but you must be in control. Conscientious professionals must get a clear handle on AI: what it does well, where it goes wrong, and how to keep it from becoming a liability. We'll discuss the real risks behind the buzzwords, from deepfakes and fraud, to flawed decision tools and hidden bias. We'll also break down what smart oversight looks like and how AI can expose gaps in your internal controls. Most importantly, this isn't a doom-and-gloom session. It's about showing you how to lead confidently in a world where AI plays a growing role in financial decision making, whether you're already deploying AI or not. Those who embrace AI are ready for tomorrow, do not be left behind.
Learning Objectives
After attending this presentation, you will be able to...
- Identify key risks associated with AI technologies in finance and accounting
- Assess the governance structures needed to oversee AI effectively
- Evaluate the impact of emerging regulations like the EU AI Act
- Recognize how AI may expose or undermine internal controls
- Develop oversight questions and action steps appropriate for financial leaders
Major Topics
The major topics that will be covered in this course include:
- Common AI use cases in accounting and finance
- Fraud, deepfakes, data abuse and related risks
- Governance frameworks and oversight responsibilities
- The EU AI Act and regulatory developments in the U.S.
- AI bias, discrimination, and transparency concerns
- Internal control and documentation challenges
- Questions finance leaders should ask before adopting AI
- Aligning AI oversight with your audit and compliance functions
