La ia en la labor contable y ética profesional

Abstract

The research addresses how artificial intelligence (AI) is transforming the accounting profession, specifically in Colombia, and the ethical challenges this technology poses. AI improves efficiency and accuracy in accounting tasks by automating routine processes, allowing accountants to focus on more strategic and analytical activities. However, the implementation of AI in accounting also raises ethical concerns, such as transparency, oversight of algorithmic decisions, and privacy of financial data. This study sets out to analyze how accountants can ensure that AI decisions are ethical and comply with local and international regulations, while maintaining professional ethics in accounting work. It also highlights risks such as biases in algorithms, privacy and security of financial data, and loss of jobs in the sector. It highlights the need to comply with accounting regulations and conduct an ethical assessment to ensure that AI is beneficial and compliant. The study proposes to analyze these ethical dilemmas in a specific case to offer appropriate approaches. The adaptation of accountants to new technologies and artificial intelligence (AI) tools has transformed the accounting profession, enabling automation of routine tasks and deeper analysis of financial data. However, this process has presented challenges, such as resistance to change and lack of technical skills, leading accountants to invest in ongoing training. Although some fear that AI may reduce their role, it is seen as complementing their skills, allowing them to focus on activities of greater strategic value, such as financial analysis and consulting. In addition, mastering AI requires understanding both technical aspects and ethical considerations, such as privacy and fairness. Finally, the correct interpretation of AI-generated results is crucial for informed and strategic decision making. Interpreting AI results presents challenges such as identifying biases and errors in the data, which requires critical analysis and corroboration with multiple sources. In addition, accountants must communicate these findings clearly to support business decision making, ranging from resource allocation to financial planning. However, it is essential to combine these insights with human expertise for balanced decisions.

Ethical use of AI requires mitigating algorithmic biases through diverse data and making transparent how algorithms work, ensuring responsibility and accountability in their use. Developing skills in data analytics and complementary AI competencies is crucial for professionals to harness the potential of the digital revolution, combining technology and human judgment for decision making and value creation.