DESCRIPTION
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 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
When this course is complete, you will learn the following:
• 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