Accounting & Auditing Conference - Virtual-3 - Enstrom - Crossing-the-Line-Ethics-Judgment-and-Accountability-in-Accounting

3 - Enstrom - Crossing-the-Line-Ethics-Judgment-and-Accountability-in-Accounting

Pdf Summary

The presentation emphasizes that auditors must preserve independence, objectivity, and professional judgment—even when clients exert pressure or longstanding relationships make scrutiny uncomfortable. Compliance with one code may not be enough; auditors must identify all applicable standards and avoid subordinating their judgment to management.<br /><br />Threats to independence can arise from client dominance, reliance on a major client for revenue, close personal or social relationships, financial interests, or becoming too involved in a client’s business. Conflicts should be checked before an engagement and monitored throughout it.<br /><br />A case study follows an auditor investigating a sharp year-end revenue increase despite incomplete records and signs that some sales were recorded before delivery. Management cites past practice, an urgent lender deadline, and the risk of changing audit firms. A team member’s undisclosed friendship with the controller adds another threat to objectivity. The auditor should assess and address that relationship, gather sufficient appropriate evidence, document findings, resist pressure, and escalate unresolved concerns. If a material misstatement is not corrected—or adequate evidence cannot be obtained—the auditor must consider the effect on the audit opinion. In the case, further testing confirmed premature revenue recognition, and management corrected the misstatement.<br /><br />The presentation also highlights potential auditor liability for negligence, failure to investigate warning signs, unsupported conclusions, and compromised independence. Auditors serve financial statement users and the public interest, not merely the client paying the fee. Their decisions should be defensible to regulators, peers, and courts.<br /><br />Finally, auditors must evaluate AI-related risks in both client reporting and audit work, including data quality, bias, reliability, and errors. AI tools require appropriate supervision and review; their outputs should never be accepted uncritically.

Keywords

auditor independence

objectivity

professional judgment

professional skepticism

conflicts of interest

independence threats

revenue recognition

audit evidence

auditor liability

AI audit risks