Internal Audit Must Prepare for the Inevitable AI Backlash

The Inevitable AI Backlash and Internal Audit's Role

The rapid integration of Artificial Intelligence into various sectors, including internal audit, is poised to face significant public and professional scrutiny, akin to historical technological advancements like the printing press or the internet. The author highlights that new technologies rarely follow a linear path of acceptance; instead, they often encounter periods of backlash stemming from unmet expectations, governance failures, or perceived threats to human expertise. For internal audit, this backlash could manifest as skepticism towards AI-assisted conclusions, criticism of poorly managed pilot programs, or concerns about the erosion of auditor judgment.

Proactive Defensibility: A CAE's Imperative

To navigate this anticipated backlash effectively, Chief Audit Executives (CAEs) must adopt a proactive and defensible approach to AI implementation. This involves moving beyond mere 'innovation theater' and establishing clear guidelines for AI usage. Key aspects of this defensibility include:

• Defining where AI is permissible and where it is prohibited within audit processes.
• Establishing robust mechanisms for challenging AI-generated outputs.
• Ensuring the retention of comprehensive evidence related to AI's contribution.
• Clearly delineating which judgments remain the sole responsibility of human auditors.

Ensuring Accountability, Traceability, and Ownership

The article stresses the importance of being able to articulate and demonstrate the human element in AI-assisted audits. This means that if AI influences audit scope, drafts test plans, analyzes exceptions, or proposes findings, the human challenge, review, source data, and reasoning must be clearly documented and defensible. CAEs should anticipate and rehearse challenging scenarios, such as inquiries from audit committees, management disputes, or regulatory reviews, to ensure their teams can explain their methodology without appearing to be passive recipients of AI's output. The overarching principle for AI-assisted assurance should be that accountability is visible, evidence is traceable, and judgment is unequivocally owned by humans.

Building a Resilient Internal Audit Profession

Ultimately, the article calls for the internal audit profession to cultivate a culture that is disciplined in leveraging new AI capabilities, yet humble enough to critically question its outputs, and brave enough to defend its judgments amidst potential challenges. The question is not if a backlash will occur, but how the profession will respond—with fear, denial, or courage. By building a robust framework of governance, transparency, and human oversight, internal audit can withstand the storm and emerge stronger, ensuring that AI serves as a powerful tool to enhance assurance without compromising professional integrity.

Citation: Tom McLeod

Source: LinkedIn