AI Governance & Internal Controls for Financial Reporting 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 course 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.
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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