四大会计师事务所近期迅速引入人工智慧技术，彻底改变了传统审计流程。透过AI模型，审计人员得以从过往针对少数交易进行抽样，升级为全面扫描每年数以百万计的所有交易，借由筛选异常与欺诈风险，减轻审计人员在巨量资料下的沉重负担，并协助事务所提升整体审计品质。

然而，AI的应用也引发了潜在风险与监管挑战。监管机构要求审计机构必须对审计意见负责且不能依赖黑盒子决策；此外，过度依赖AI可能导致假阴性漏报，或在面对新型交易时出现误判。同时，将基础工作交由AI处理也引发了初级审计人员技能退化（deskilling）的疑虑。

审计事务所面临著成本削减诱惑与严格法规的双重平衡。虽然事务所与英国财务汇报局（FRC）皆强调AI旨在辅助而非取代人类并提升品质，但如何在非审计服务受限下实现AI投资回报仍是一大课题。目前监管机构对未经充分测试的技术保持警惕，整体产业仍在谨慎探索中前行。

The rapid adoption of artificial intelligence by the Big Four accounting firms is fundamentally reshaping the auditing landscape. Rather than relying on traditional spot-checking of small transaction samples, AI models now scan millions of corporate transactions annually to identify fraud and errors, helping human auditors avoid becoming overwhelmed by massive datasets while improving audit quality.

Nevertheless, deploying AI introduces regulatory challenges and systemic risks. Audit firms remain fully accountable for their opinions and cannot simply defer explanations to a 'black box' system. Heavy reliance on technology may also lead to false negatives that miss novel anomalies, while delegating routine tasks to automated agents poses the danger of deskilling junior auditors.

Firms must carefully balance the pressure to cut costs with professional accountability and strict regulatory limits. While both audit firms and regulators like the UK's Financial Reporting Council emphasize that AI should enhance audit standards rather than merely replace human labor, finding compliant ways to monetize AI investments remains complex as the industry cautiously navigates this transformation.