Regulating Tax Avoidance Driven by AI Neural Networks: Strengths and Weaknesses of General Anti-Avoidance Regimes in South Africa and Elsewhere

Journal
Author
Parsons, S.; Marais, A.; Hattingh, P.J.
Country
International; OECD; South Africa
Published Date
Issue
Bulletin for International Taxation 2024 (Volume 78), No. 9/10
FormatPDF
EUR
45
| USD
50 (VAT excl.)

This article explains the ever-growing use of artificial intelligence (AI) in tax and assesses the strength and weaknesses of general anti-avoidance rule regimes to address tax avoidance driven by AI. Proactive steps by regulators are desirable. Recommendations are formulated underlining the need for international coordination and an “all of government” approach.