AI for IA - An intro to AI for Internal Auditors
Created specifically for internal auditors, this is a foundation course for those who are seeking to understand the fundamental concepts of the new wave of Generative AI.
About this course
Generative AI is reshaping how organisations and professionals work, for better and for potentially worse, and internal audit is no exception. This one-day course provides a practical, accessible introduction to generative AI for internal auditors who want to understand the opportunities, limitations, risks, assurance challenges, and real-world applications of the technology to augment everyday audit tasks.
Delivered by an experienced Chief Audit Executive, former CFO and current CIA tutor, the course is designed specifically for the internal audit profession. It offers a grounded, relevant perspective from someone who understands both the audit environment and the practical realities of using generative AI effectively.
Drawing on two years of hands-on experience with a range of generative AI tools, the tutor has curated the essential knowledge every internal auditor needs at the start of their AI journey. From understanding the limitations of the technology to exploring practical use cases and effective prompting techniques, this course helps participants build a strong foundation in AI literacy.
Presented by Stephen Foster CMIIA, ACMA, CGMA, BSc(hons) Finance & Accounting
Course overview
This course will be of value to internal auditors who are curious about generative AI and would like to take their first structural steps into its use. Those that will benefit the most from the practical use cases in the course are those at the beginning or early stages of their journey with either no or basic exposure to generate AI models such as ChatGPT, Claude, Google Gemini, or Microsoft Co-Pilot for example. Heads of audit and those with leadership responsibility will benefit from the course as a stimulant for their functional AI development and how to galvanise their teams on their AI journey
Upon completion you will be able to:
• define the basic concepts of generative AI
• identify various standards and guidelines associated with the use of AI
• identify the various interaction points between AI and the internal audit team
• identify the risks and opportunities of generative AI, and what that may mean for internal audit teams
• identify and evaluate a portfolio of potential use cases for LLM generative AI in your teams
• explain the fundamentals of Prompt engineering for improved responses and content generation
• construct your own prompts and use generative AI models in the context of internal audit
• appraise and defend ideas and learnings with peers
Pre-reading:
- What is AI? Why now? Basic Terminology
- AI Risk Summary & Source Links
- AI Checklist for Internal Audit
1st Half
- The principles of Generative AI & the importance of critical thinking/HITL.
- The AI Environment: AI Risks, Ethical & Responsible AI, Legislation & Standards, and the importance of AI Policy
- The internal Auditors Roles in the context of AI: AUDITOR, CHAMPION, USER and what each of those means.
2nd Half
- Adopting an AI mindset – how to work with Generative AI as an Internal Auditor
- Principles of prompting and prompt engineering
- Walk through of IA centric use cases through live demo and screenshots.
- Performance (Engagements)