This course provides a concise overview of the emerging liability, malpractice, regulatory, insurance, and professional-conduct risks associated with CPAs’ use of artificial intelligence. Participants will examine how traditional duties of care, competence, confidentiality, verification, and professional accountability apply when AI is used in accounting, tax, audit, and advisory work. Drawing on developments in the United States, Canada, and the United Kingdom, the course explores documented AI failures, regulatory expectations, insurance coverage gaps, data exposure, and practical controls CPAs can implement to make AI-assisted work more defensible. 

Prerequisite Knowledge: A general understanding of accounting practice, professional ethics, and generative AI is helpful but not required. 

Topics Covered: 

• Professional accountability for AI-generated work 
• AI errors, hallucinations, and malpractice exposure 
• Emerging cases, sanctions, and disciplinary actions 
• AI regulatory expectations in the US, Canada, and UK 
• Professional liability insurance and AI coverage gaps 
• Confidentiality, privilege, privacy, and data exposure 
• Verification, documentation, governance, and defensibility 

Upon completion of this course, participants will be able to: 

• Explain how professional liability principles apply to AI-assisted work.
• Identify AI-related conduct that may create malpractice or disciplinary exposure. 
• Analyze how hallucinations and inadequate verification can produce professional liability. 
• Compare key AI-related professional obligations across the Canada, US and UK. 
• Evaluate potential AI exclusions and coverage gaps in professional liability insurance. 
• Assess confidentiality, privacy, privilege, and data-handling risks associated with AI. 
• Apply verification, documentation, governance, and human-review controls to strengthen.