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Hiroshi Taki Ph.D.,

Ritsumeikan University, Japan


■ Title

How can AI Audit affect Auditors’ Responsibility ?

■ Abstract

Looking at the transparency reports of major audit firms in recent years, it seems that they have already developed machine learning audit tools and introduced them to audit jobs.

However, for machine learning such as deep learning, the judgment process is a black box, and not only is the basis for the judgment unclear, but it is also difficult to clarify the cause of the judgment error.

In this lecture, I would like to unravel the legal responsibilities of auditors in audits using AI from the ideal collaborative relationship between AI and humans.

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