Take Control of AI in Accounting—With Confidence and Accountability
The Professional Certificate in AI Governance, Risk & Controls for Accounting provides accounting, audit, and finance professionals with a comprehensive foundation in managing and overseeing artificial intelligence within financial environments.
As AI becomes increasingly embedded in accounting processes, this program emphasizes the importance of governance, accountability, and control mechanisms to ensure responsible and ethical use.
Learning Objectives
By the end of the course, participants will be able to:
- Understand the principles of AI governance and define roles and accountability within accounting functions
- Identify and assess risks associated with AI models, including bias, errors, and model drift
- Apply internal control frameworks to AI systems, covering data, processes, and outputs
- Implement data governance practices ensuring quality, integrity, security, and compliance
- Evaluate the auditability and regulatory compliance of AI systems in financial environments
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