Internal Auditor Magazine: AI Unleashed

Since ChatGPT’s debut, corporate enthusiasm for AI has surged, often outpacing organizations’ ability to govern it. Experts such as Rafae Bhatti, Aadesh Gandhre, and Ryan Hittner warn that rapid deployment without robust controls introduces risks like bias, data misuse, and security vulnerabilities. Many firms possess AI policies on paper, but these are inconsistently applied, leaving gaps between strategy and execution.

Internal audit functions are becoming pivotal in closing this gap by embedding governance controls from the outset, operationalizing frameworks, and ensuring regulatory compliance. Effective governance demands risk assessments, accountability, human oversight, and transparency — turning internal audit into both guardian and guide.

Emerging regulations, including the EU AI Act and U.S. state laws, are pushing companies to align governance with compliance standards such as NIST’s AI Risk Management Framework. Experts emphasize adaptive governance — flexible enough to evolve with fast-changing technology while maintaining ethical integrity.

While global enforcement remains uneven, AI auditors see opportunity: using AI itself to improve monitoring, automate governance tasks, and scale assurance processes. As organizations balance innovation with accountability, internal audit is poised to play a strategic, trust-building role in responsible AI adoption.