AI and Accounting Ethics: Navigating Ethical Challenges in Algorithmic Decision-Making *

Abstract

The increasing integration of Artificial Intelligence (AI) into accounting has significantly impacted various industries, improving the efficiency, effectiveness, and accuracy of data processing and reporting. However, this technological revolution also presents significant ethical challenges. This paper explores the growing role of AI in accounting, the ethical dilemmas it creates, and strategies for addressing these challenges. Key concerns include the integrity, transparency, and trustworthiness of AI-generated outputs, as well as the potential for unchecked errors to have detrimental consequences. The paper also addresses fears of job displacement, highlighting the need for accountants to reskill and focus on higher-level tasks like strategic analysis and advisory services. To address these issues, a conceptual framework is proposed to guide the ethical deployment of AI in accounting. This framework emphasizes the importance of core principles such as transparency, accountability, fairness, and data privacy. It also recommends strategies like establishing ethical governance structures, ensuring regulatory compliance, and fostering continuous monitoring and human-AI collaboration. By adhering to these principles, the accounting profession can harness the benefits of AI while upholding ethical standards and maintaining public trust.