AI without oversight puts your credibility on the line.
Artificial Intelligence (AI) and machine learning (ML) models are rapidly transforming organizations across industries – powering decision-making in lending, fraud detection, supply chain management, HR screening, and beyond. But with this innovation comes heightened risk. Without proper oversight, AI can produce biased outcomes, erode transparency, compromise data privacy, and cause significant regulatory exposure.
This 4-hour course equips auditors with the knowledge and tools to evaluate AI models effectively, whether developed in-house or purchased from third parties. Participants will learn to identify the unique risks of AI systems, assess governance and model risk management, evaluate data integrity and bias, ensure transparency and explainability, address cybersecurity and privacy concerns, and verify regulatory compliance.
The course also introduces how AI tools can be leveraged to audit AI itself, using AI-assisted analysis to review documentation, scan for compliance gaps, and enhance testing procedures while maintaining skepticism and oversight. Real-world case studies of AI failures and legal challenges will illustrate the consequences of inadequate controls. Attendees will leave with actionable questions, red flag indicators, and strategies to incorporate AI auditing into their overall risk management program.
Learning Objectives:
- Identify the key governance, bias, transparency, cybersecurity, and compliance risks associated with AI and ML models.
- Recognize red flags and ask targeted questions to evaluate AI governance and model ownership.
- Assess the adequacy of data integrity controls and detect potential bias in training datasets and outputs.
- Evaluate the transparency and explainability of AI systems, particularly in high-stakes decision-making.
- Review cybersecurity and privacy safeguards protecting AI models and their underlying data.
- Determine compliance with emerging AI-specific regulations and industry-specific requirements.
- Apply AI tools to assist in auditing AI models while avoiding over-reliance and ensuring validation of results.
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CPEs: 4.0 | Field: Auditing | Delivery: Group Internet Based
Level: Beginner | Prerequisites: None | Who Should Attend: Internal and external auditors, compliance officers, risk managers, business analysts, operations leaders, and other professionals who need to understand, evaluate, or oversee the use of AI and machine learning systems in their organizations.
Verracy is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.
Texas State Board of Public Accountancy, 505 E. Huntland Drive, Suite 380, Austin, Texas 78752 www.tsbpa.state.tx.us
Cancellation Policy: Cancellation up to 5 days before the start of the training for a full refund.
To contact Verracy: training@verracy.com