Taxation of New Technologies
The Explainable Artificial Intelligence (XAI) Used as a Tool to Supervise the Income Generated by Permanent Establishment in the Digital Economy
DOI:
https://doi.org/10.46801/2595-7155.12.7.2023.2368Keywords:
international taxation, digital economy, permanent establishment, XAI, Explainable Artificial IntelligenceAbstract
This article addresses the use of Explainable Artificial Intelligence (XAI), as one of the new technologies used by tax authorities, from the perspective of inspection and assessment of income generated by permanent establishment in the light of the digital economy. The purpose of this paper is demonstrate the use of the tool as a contribution to improving governance, efficiency, legal certainty and tax compliance, according to fundamentals established in Pillar 1, of the project to avoidance the base erosion and profit shifting (BEPS), from the Organization to Economic Cooperation and Development (OECD). Starting from the premise that the income taxation should be allocated in the market jurisdiction based on a new nexus of significant economic presence, this study addresses the use of this artificial intelligence to inspection the quantitative and qualitative amount proposed there, going through the possible consequences and limits for the principle of legality and taxpayer privacy.
References
ALVES, M. A. S.; ANDRADE, O. M. de. Da “caixa-preta” à “caixa de vidro”: o uso da explainable artificial intelligence (XAI) para reduzir a opacidade e enfrentar o enviesamento em modelos algorítmicos. Direito Público, [S. l.], v. 18, n. 100, 2022. DOI: 10.11117/rdp.v18i100.5973.
BAL, Aleksandra. Ruled by Algorithms: The Use of ‘Black Box’ Models in Tax Law. Tax Notes International, september 16, 2019.
CORTIZ, Diogo. Inteligência artificial: conceitos fundamentais. In: VAINZOF, Rony; GUTIERREZ, Adriei. Inteligência artificial: sociedade, economia e Estado. São Paulo: Thomson Reuters.
HONGLER, Peter; PISTONE, Pasquale. Blueprints for a New PE Nexus to Tax Business Income in the Era of the Digital Economy. WU International Taxation Research Paper Series n. 2015-15.
IBM Cloud Education 3 de Junho de 2020. IBM Cloud Learn Hub. O que é Inteligência Artificial (IA)? - IBM Brasil. Disponível em https://www.ibm.com/br-pt/cloud/learn/what-is-artificial-intelligence.
ISRAEL. The Israeli Tax Authority Published Guidelines Regarding Taxation of Foreign Corporation Activity in Israel Via the Internet. Disponível em: https://taxes.gov.il/English/About/SpokesmanAnnouncements/Pages/Ann_11042016.aspx.
KROLL, Joshua A; HUEY, Joanna; BAROCAS, Solon; FELTEN, Edward W.; REIDENBERG, Joel R.; ROBINSON, David G. & YU, Harlan; Accountable Algorithms, 165 U. Pa. L. Rev. 633 (2017). Disponível em: https://scholarship.law.upenn.edu/penn_law_review/vol165/iss3/3
KUŹNIACKI, Błażej. “Exploring Local Post-Hoc Explanation Methods in Tax-Related AI Systems”. CPT project of the Amsterdam Centre for Tax Law (ACTL) and the Notre Dame-IBM Technology Ethics Lab - United States. Disponível em: https://techethicslab.nd.edu/news/notre-dame-ibm-technology-ethics-lab-announces-funding-for-proposals/
MEHDIYEV, Nijat; HOUY, Constantin; GUTERMUTH, Oliver; MAYER, Lea; and FETTKE, Peter, "Explainable Artificial Intelligence (XAI) Supporting Public Administration Processes – On the Potential of XAI in Tax Audit Processes" (2021). Wirtschaftsinformatik 2021 Proceedings.
OCDE. Projeto de Combate à Erosão da Base Tributária e Transferência de Lucros da
OCDE/G20. Disponível em: https://www.oecd.org
PINTO NOGUEIRA, João Félix, Tax Administration and Technology: From Enhanced to No-Cooperation? (June 2, 2022). Digital Transformation of Tax Administrations, Disponível em: https://ssrn.com/abstract=4125999 ou http://dx.doi.org/10.2139/ssrn.4125999. Acesso em: 16 out. 2022.
RITO, David João Nobre; SCHAPER, Marcel. Artificial Intelligence and the Black Box Problem Can Artificial Intelligence used by Tax Administrations be compliant with EU law? Disponível em: https://uploads-ssl.webflow.com/5dbff9099bf13e8cab5645fb/601bba7b2a410bf148d19fa0_davidrito_masterthesis_20201114.pdf.
SECO, Antonio. Explainable Artificial Intelligence (XAI) and its importance in Tax Administration. Disponível em: https://www.ciat.org/explainable-artificial-intelligence-xai-and-its-importance-in-tax-administration/?lang=en.
THE HAGUE DISTRICT COURT. NJCM et al. v The Dutch State (2020) The Hague District Court ECLI: NL: RBDHA:2020:1878 (SyRI). Disponível em: https://uitspraken.rechtspraak.nl/inziendocument?id=ECLI:NL:RBDHA:2020:1878
TOREINI, E., Aitken, M., Coopamootoo, K., Elliott, K., Zelaya, C.G., van Moorsel, A.: The relationship between trust in AI and trustworthy machine learning technologies. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 272–283. (2020).
UNITED STATES OF AMERICA. Supreme Court of the United States n. 17-494. Case 585 U. S. 2018. Disponível em: https://www.supremecourt.gov/opinions/17pdf/17-494_j4el.pdf. Acesso em: 20 set. 2022.
ZILVETI, Fernando Aurelio. As Repercussões da Inteligência Artificial na Teoria da Tributação. Revista Direito Tributário Atual, n.43. ano 37. p. 484-500. São Paulo: IBDT, 2º semestre 2019. Acesso em: 09 ago. 2022.
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