Ai-driven tax automation: an in-depth review

Author

Rafiq, Rawan

Source

Revue Etudes Fiscales

Issue

Vol. 12, Issue 2 (31 Jan. 2024), pp.31-51, 21 p.

Publisher

Université Blida 2-Lounici Ali Faculté des Sciences Économiques des Sciences Commerciales et des Sciences de Gestion Laboratoire des Défis du Système Fiscal Algérien à la Lumière des Transformations Économiques

Publication Date

2024-01-31

Country of Publication

Algeria

No. of Pages

21

Main Subjects

Economy and Commerce

Abstract EN

Tax automation, indispensable in today's landscape, undergoes profound transformation through artificial intelligence (AI).

This article explores the impact of AI in this context, emphasizing its crucial role in optimizing tax processes.

Practical applications of AI, such as real-time analysis of tax data and fraud prevention, revolutionize tax compliance.

However, ethical and technical challenges persist.

By examining these aspects, the article aims to provide a comprehensive overview of the opportunities and challenges of tax automation through AI

American Psychological Association (APA)

Rafiq, Rawan. 2024. Ai-driven tax automation: an in-depth review. Revue Etudes Fiscales،Vol. 12, no. 2, pp.31-51.
https://search.emarefa.net/detail/BIM-1545139

Modern Language Association (MLA)

Rafiq, Rawan. Ai-driven tax automation: an in-depth review. Revue Etudes Fiscales Vol. 12, no. 2 (Jan. 2024), pp.31-51.
https://search.emarefa.net/detail/BIM-1545139

American Medical Association (AMA)

Rafiq, Rawan. Ai-driven tax automation: an in-depth review. Revue Etudes Fiscales. 2024. Vol. 12, no. 2, pp.31-51.
https://search.emarefa.net/detail/BIM-1545139

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references: p. 50-51

Record ID

BIM-1545139