Generative Artificial Intelligence (AI) in Accounting, Finance and Audit – Part 2

This technology is rapidly reshaping finance/accounting by accelerating analysis, supporting research, improving reporting workflows, and expanding access to data-driven insights. Generative AI is a subset of artificial intelligence designed to create new, original content-such as text, images, code, or audio-by learning patterns, structures, and nuances from vast datasets. Recent professional/regulatory commentary highlights the need for strong governance, human oversight, data protection, and quality controls. The course examines key risks such as hallucinations, confidentiality concerns, bias, weak documentation, and overreliance on AI-generated output, along with governance practices needed to support responsible adoption. In addition, the session examines the risks associated with generative AI, including accuracy, bias, data privacy, regulatory compliance, and documentation challenges. Participants will gain insight into governance frameworks and control considerations necessary to support responsible and ethical AI adoption. By the end of the course, participants will be better prepared to evaluate generative AI opportunities, design appropriate guardrails, and apply professional judgment when using AI in finance and accounting environments. Participants will explore real-world use cases across accounting, financial reporting, FP&A, tax, audit support, and controllership activities. Designed for finance professionals, controllers, auditors, and business leaders, this course bridges theory and practice-equipping participants with the knowledge needed to evaluate, implement, and oversee generative AI tools effectively in a rapidly evolving landscape.