Description

This is a rebroadcast from AICPA ENGAGE 2026.

Artificial intelligence (AI) has many use cases in audit and significant potential to enhance efficiency, but AI use also brings up valid concerns about data privacy and fidelity, accuracy, and hallucinations.

In this session, presenters discuss the foundational elements of responsible AI use in audit, including:

- The latest AI advances

- How to leverage AI to streamline workflows

- Real-world AI use cases

- How to minimize AI-related risks and maintain audit quality

Participants will leave with a practical understanding of how to apply AI in audit practices and workflows based on real use in firms, as well as suggested resources for further exploration.

Target Audience

· Auditors

· Assurance leaders

· Firms

· Accounting and finance professionals

Course Objectives

· Identify use cases for artificial intelligence (AI) and data analytics in audit practices and how AI tools are currently being used to improve audit quality, efficiency, and risk detection.

· Recognize the benefits and limitations for AI to streamline workflows and enhance insights while recognizing issues such as bias, hallucinations, and overreliance on automation.

· Recall best practices and governance models to ensure AI tools are implemented in a way that maintains audit standards, transparency, and professional skepticism.

Subjects

· AI tools for audit

· How to apply AI

· AI use cases

· Risk management

· Audit-specific AI considerations