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Artificial Intelligence (AI) is becoming integral to decision-making processes across sectors, creating new challenges and opportunities for assurance professionals. This podcast explores the concept of AI assurance—how traditional assurance methodologies are being adapted to the arena of AI systems. From machine learning's prediction models to generative AI's creative capabilities, we discuss the inherent risks, including bias, transparency, and accountability. The role of CPAs in AI assurance is highlighted, emphasizing the importance of independent verification, ethical considerations, and regulatory compliance in maintaining trust as AI's influence grows. We also consider the evolving regulatory landscape, such as the EU AI, and the potential for CPAs to provide assurance that mitigates the risks associated with emerging AI technologies.

Lessons Covered:

• What is AI assurance?
• Why is AI Assurance Important?
• How do CPAs factor into this new area of assurance?
• What AI assurance standards are currently available?
• In what ways could AI Assurance initiatives create value or pose challenges for Small-Medium sized firms?
• What resources should CPAs use to better understand AI systems?

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Upon completion of this course, you will learn:

• Adapting Traditional Assurance to AI: Ensuring stakeholders receive assurance that AI systems are operating in a manner that is materially consistent with their expectations. 
• The Role of CPAs in AI Assurance: Leveraging your CPA expertise to provide assurance on the integrity and fairness of AI-driven decision-making processes. 
• Opportunities for SMEs and Startups: Looking at opportunities for small to medium-sized practitioners to provide assurance services, readiness assessments, and other assistance to help these businesses navigate the evolving regulatory landscape.