Conceptual analysis reveals responsibility gaps in automated auditing systems, highlighting the need for algorithm explainability and updated professional standards.
The article analyzes the problem of moral agency of artificial intelligence in the context of accounting and auditing automation. Three interrelated issues are examined: the debate on artificial moral agency as applied to the professional ethics of accountants and auditors, distributed responsibility in “auditor–AI” systems, and the responsibility gap in the use of learning systems in audit practice. It is shown that traditional criteria of moral agency (free will, consciousness, intentionality) are directly related to the concepts of professional judgment and professional skepticism enshrined in international auditing standards. The necessity of updating professional standards, developing requirements for algorithm explainability, certifying AI audit tools, and creating educational programs for auditors is substantiated.
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Sofya N. Chernaya (2026) studied this question.
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