Generative AI in Accounting Real-World Examples, Hands-On Exercises and Teaching Resources-Generative AI in Accounting_ Real-World Examples, Hands-On Exercises and Teaching Resources

Video Transcription

Video Summary

Markus Ahrens (AAA) introduces Tracie Miller (Franklin University) and Wendy Tietz (Kent State University), who present on integrating generative AI into accounting education. They argue AI will not replace accountants, but will reshape the profession by pushing graduates toward strategic advisory roles&mdash;interpreting AI-driven insights, applying judgment, and making decisions in context. Because AI is rapidly evolving, students need a continuous learning mindset, adaptability to new workflows, and familiarity with multiple AI platforms.<br /><br />They highlight AI&rsquo;s impact across accounting: real-time reporting and fraud detection in financial accounting; forecasting, cost analysis, and performance evaluation in managerial accounting; and enhanced testing and internal controls in auditing. The presenters share a free PDF resource Wendy developed, &ldquo;AI in Accounting Education,&rdquo; containing 28 independent chapters with real-world use cases, hands-on exercises, and discussion questions spanning general, financial, and managerial accounting topics (and usable in intermediate, cost, auditing, and analytics courses). An instructor guide (shared upon request) includes teaching tips, sample AI outputs/solutions, assessment ideas, multiple-choice questions, rubrics, and classroom engagement tools (crosswords and Kahoots).<br /><br />Examples include Amazon demand forecasting, Intuit QuickBooks transaction categorization, Walmart breakeven analysis, Microsoft adaptive budgeting, and GE capital allocation. Exercises use tools like ChatGPT (or alternatives such as Copilot) to categorize transactions or draft financial statements, emphasizing critique over correctness. Key implementation advice: model AI output in large introductory classes, grade analysis rather than AI answers, teach prompting skills, and explicitly address ethics&mdash;accuracy, bias, confidentiality, privacy, and sustainability/energy concerns. The session ends by sharing a request link/QR code for the free materials and encouraging faculty to adapt exercises without adding major course burden.

Keywords

generative AI in accounting education

AI integration in accounting curriculum

accounting roles strategic advising

AI-driven financial reporting and fraud detection

managerial accounting forecasting and cost analysis

AI in auditing risk detection and internal controls

critical thinking and ethical reasoning in AI use

ChatGPT classroom exercises for accounting

AI in Accounting Education PDF resource

responsible AI practices confidentiality bias privacy sustainability