“AI systems are becoming one of the most vital areas for any internal auditor or professional to understand, so that we build trustworthy and reliable AI models and put them out there in the world for users and consumers to produce use of,” Kavin said.
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At the AICPA’s fall 2025 Government Performance and Accountability Committee (GPAC) meeting, Kavin Anburaj, internal audit director at Meta, shared her expertise about the importance of auditing AI models, different types of AI models, and the constraints that can affect an AI model audit.
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Furthermore, visual representations like the one above help us fully grasp the concept of Ai Compliance Audits.
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Artificial intelligence (AI) is rapidly establishing itself as a business staple. As AI models continue to proliferate, how can professionals assure businesses and consumers that these models can be relied upon?
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Multiple individuals employ the terms Governance , Risk , and Compliance interchangeably — but they are distinct yet deeply interconnected disciplines.
