The IIA has defined internal audit’s role in AI as “helping an organization evaluate, understand, and communicate the degree to which artificial intelligence will have an effect (negative or positive) on the organization’s ability to create value in the short, medium, or long term.” However, many internal audit leaders don’t have AI as a defined risk area in the annual audit planning process, let alone an engagement in the audit plan.
Join Grant Thornton’s IT Internal Audit team on September 14th to discuss how internal audit leaders can assist organizations in adopting AI effectively while minimizing risks, and guide the process by understanding AI’s potential benefits and challenges. In doing so, we’ll share how IA teams can effectively collaborate with data scientists and IT professionals to ensure proper controls are implemented to manage risks.
The discussion will focus on:
- Current trends in AI adoption
- Successful AI implementation strategies and leading practices
- Common challenges and mitigation of AI adoption
- The maturing AI regulatory landscape
- Overview of NIST’s Artificial Intelligence Risk Management Framework (AI RMF 1.0)
- Examples of successful…
