• Understanding Artificial Intelligence
• Necessary Conditions to Build Trustworthy AI
  – Ethics
  – Social responsibility
  – Accountability
  – Reliability
• Establishing a Governance Framework
• Handling AI Responsibly
• Risk & Governance Considerations
• Application in Finance & Accounting
• AI Use Cases
• Regulatory Insights
  – Global trends
  – Authoritative guidance
  – Institute of Internal Auditors (IIA) AI auditing framework
• Risk-Based Assurance Framework

• Understanding Artificial Intelligence
• Necessary Conditions to Build Trustworthy AI
  – Ethics
  – Social responsibility
  – Accountability
  – Reliability
• Establishing a Governance Framework
• Handling AI Responsibly
• Risk & Governance Considerations
• Application in Finance & Accounting
• AI Use Cases
• Regulatory Insights
  – Global trends
  – Authoritative guidance
  – Institute of Internal Auditors (IIA) AI auditing framework
• Risk-Based Assurance Framework

DETAILED LEARNING OBJECTIVES

• Define artificial intelligence and recognize its ability to mimic human judgment to improve processes

• Identify the role of large language models in processing and generating human-like text

• Recognize key principles included in a Responsible AI framework

• Identify who is responsible for establishing AI governance within an organization

• Recognize how AI is used to assist in financial reporting and audit preparation

• Identify business value considerations that support AI adoption

• Recognize AI use cases specifically applicable to SOX control testing

• Understand the regulatory trend toward risk-based approaches for AI oversight

• Identify potential governance risks when implementing Generative AI

• Recognize data privacy risks associated with the use of GenAI models in financial reporting