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Please note: CPE credits are not awarded for webcast replay.  


Event audience:

For large and medium organizations:

  • Internal Auditors
  • Chief Audit Executives
  • Compliance Managers
  • Risk managers / Directors
  • Information security teams
  • Cybersecurity groups
  • IT teams

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Internal audit's role in assessing AI programs and related risks




Event Description 


Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically involving tasks such as learning, reasoning, problem-solving, and decision-making. AI has transitioned from an emerging technology a few years ago to a critical technology resource today. In fact, it is expected that 53% of businesses will use AI to increase productivity in 2023 and will look leverage AI for other core processes such as aggregation of data, internal communication, and writing code in sensitive applications. Further, regulatory oversight and requirements for companies using AI continue to build momentum across many industries and in political arenas.


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 adaptation of IIA AI Auditing Framework 

Date and time

Original broadcast Thursday, September 14, 2023 2:00 PM ET - 3:00 PM ET



Recommended CPE credits

Please note: CPE credits are not awarded for webcast replay.



Learning objectives

  • Describe current Trends in AI, including business uses and technical aspects of generative AI
  • Cite successful AI strategy implementation and explore real-world examples of organizations effectively integrating AI into their operations
  • Describe common challenges and risk mitigation approach such as bias in AI algorithms, data privacy concerns, and determine actions to address emerging risks and regulations
  • Assess gaps in capabilities for performing AI audits and evaluate how AI adoption affects existing technical controls and suggest strategies to adapt
  • Determine methodologies for assessing the effectiveness of technical controls in AI systems.
  • Identify strategies for communicating the benefits and risks of AI throughout the organization and fostering a culture of understanding
  • Indicate leading practices for organizations to mature their AI adoption, considering scalability, governance, and continuous improvement

Grant Thornton speakers:





Recommend field of study

Information Technology



Program level








Delivery method

Group - Internet




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