As artificial intelligence (AI) becomes deeply integrated into business operations and decision-making, organizations must recognize that effective oversight extends beyond technical safeguards.The governance, risk and control (GRC) responsibilities of AI also carry a cultural dimension requiring alignment with corporate ethical values ethical principles and accountability structures.Cultural governance emphasizes leadership commitment, employee engagement and cross-function ownership of AI practices to ensure trust and transparency. AI-related risks – ranging from bias and ethical concerns to regulatory compliance, reputational exposure and operational vulnerabilities necessitate robust control frameworks and proactive mitigation strategies. These include governance structures, policies, risk assessments, transparency measures, and continuous monitoring. By embedding cultural governance and mitigation responsibilities into enterprise AI initiatives, organizations can responsibly harness innovation while safeguarding stakeholders, protecting reputation and ensuring sustainable long-term value.
Note: This is Part 2 in a two-part series on the risks of AI
DESIGNED FOR
Anyone who performs audits
BENEFITS
- Describe the importance of maintaining professional skepticism
- Explain critical elements of high-quality audit documentation
- List the characteristics of a proper risk assessment process linked to the detailed audit plan
- Describe how to satisfy the minimum requirements for evaluating the design and implementation of internal controls relevant to the audit
HIGHLIGHTS
- Professional skepticism – Creating a mindset for finding fraud and error
- Audit documentation basics – Creating workpapers that pass review
- The audit risk model – Understanding the foundational principles
- Internal control fundamentals - Satisfying the requirements for evaluating the design and implementation of internal control over financial reporting
PREREQUISITES
None
ADVANCE PREPARATION
None