Learning Objective
To equip accounting, audit, and finance professionals with the governance, risk management, and internal control frameworks required to deploy and oversee artificial intelligence responsibly within accounting and financial environments.
This course focuses on professional accountability, ensuring AI systems used in accounting are controlled, auditable, ethical, and compliant with regulatory and professional standards.
Course Outline
Module 1: AI Governance Foundations for Accounting
- AI Governance Concepts and Accountability
- Roles and Responsibilities in AI Oversight
- Governance Structures for AI in Finance Functions
- Alignment with Professional and Ethical Standards
Module 2: AI Model Risk and Control Frameworks
- Understanding AI Model Risk in Accounting Applications
- Validation, Testing, and Monitoring of AI Models
- Managing Bias, Errors, and Model Drift
- Documentation and Control Evidence for AI Models
Module 3: Data Governance and Internal Controls over AI
- Data Quality, Integrity, and Ownership
- Internal Controls over AI Inputs, Processing, and Outputs
- Access Controls and Segregation of Duties in AI Systems
- Data Privacy, Confidentiality, and Regulatory Compliance
Module 4: Auditability, Compliance, and Assurance of AI Systems
- Auditability of AI Decisions and Outputs
- Integrating AI into Internal Audit and Assurance Programs
- Regulatory Expectations and Compliance Considerations
- Professional Judgment in AI-Supported Decision-Making
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