Description

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.

Instructor: Robert Berry, CPA

Target Audience

Financial leaders, financial managers, CEOs, CFOs, controllers, accountants, board members, advisors, and consultants; CPAs in public practice and CPAs in industry; business owners, entrepreneurs and professionals who are interested in realizing more value from the organization.

Course Objectives

After attending this presentation, you will be able to...Identify key risks associated with AI technologies in finance and accountingAssess the governance structures needed to oversee AI effectivelyEvaluate the impact of emerging regulations like the EU AI ActRecognize how AI may expose or undermine internal controlsDevelop oversight questions and action steps appropriate for financial leaders

Subjects

The major topics that will be covered in this course include:Common AI use cases in accounting and financeFraud, deepfakes, data abuse and related risksGovernance frameworks and oversight responsibilitiesThe EU AI Act and regulatory developments in the U.S.AI bias, discrimination, and transparency concernsInternal control and documentation challengesQuestions finance leaders should ask before adopting AIAligning AI oversight with your audit and compliance functions

Prerequisites

None, preferably at least six (6) months of professional financial statement analysis experience and/or at least six (6) months of professional experience in preparing or reviewing accounting processes and reports; experience working with internal clients or external clients and business leaders.