AI Governance & Internal Controls for Financial Reporting Self-Study Webinar
Overview
AI is quickly moving from experimentation to operational use within finance and accounting functions, creating new governance and control challenges for organizations. This self-study webinar provides a practical framework for implementing AI governance within finance and internal control environments, with a focus on financial reporting, ICFR, and audit considerations. Discover:
- Core AI governance principles and the factors that influence organizational readiness for AI adoption
- Practical applications of AI governance frameworks and standards within finance and audit functions
- Approaches for managing AI-related risks, controls, monitoring, and governance within ICFR environments
Objective
To provide CPAs and other finance professionals with a practical understanding of AI governance and its relationship to internal control over financial reporting (ICFR), enabling them to evaluate AI-related risks, implement effective governance practices, and support responsible AI adoption within financial reporting and control environments.
DETAILED LEARNING OBJECTIVES
• Explain the importance of AI governance in finance, audit, and financial reporting environments
• Identify the key components of organizational AI readiness and governance frameworks
• Describe the purpose and structure of ISO/IEC 42001 and its role in AI risk management
• Differentiate among common AI governance operating models and understand their advantages and tradeoffs
• Define key AI governance roles, responsibilities, and accountability structures
• Recognize principles for designing AI solutions that are appropriate for ICFR environments
• Identify appropriate and inappropriate uses of AI within financial reporting and internal control processes
• Evaluate risks associated with AI-enabled systems and understand the continuing role of human oversight and professional judgment
Emphasis
- AI governance foundations:
– Implications for finance and audit
– Four key drivers of organizational AI readiness
– ISO/IEC 42001: a starting point for AI governance
– AI governance enablement in practice
– Common operating models - AI, ICFR and governance:
– Design principles for AI in ICFR environments
– Where AI is showing up in finance and ICFR today
– AI ICFR risks and why you don’t need a new framework
– Intake and impact assessment
– AI monitoring: lifecycle governance controls
Speakers
Scott Jones, Consulting Partner, IT Risk Advisory Leader, Highspring
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