Special Issue on AI Governance and Tax Law
AI Governance and Tax Law examines the legal,
regulatory, and policy frameworks governing the use of artificial intelligence
in tax systems, tax administration, and fiscal decision-making. It focuses on
how governments design, regulate, and oversee AI-driven tools for tax
compliance, enforcement, risk assessment, and revenue collection, while
ensuring transparency, accountability, fairness, data protection, and taxpayer
rights. The field also explores the challenges AI poses to existing tax laws,
including algorithmic bias, automated decision-making, cross-border data flows,
and the taxation of AI-driven business models, aiming to balance technological
innovation with legal certainty and public trust.
In this
special issue, we intend to invite front-line researchers and authors to submit
original research and review articles on exploring AI
Governance and Tax Law. Potential topics include, but are not limited
to:
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Algorithmic accountability in taxation
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Artificial intelligence in tax administration
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Automated tax compliance systems
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Bias and fairness in tax algorithms
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Cross-border data governance
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Data protection and taxpayer privacy
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Digital economy taxation
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Ethical frameworks for tax AI
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Explainable AI in tax decision-making
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Legal liability for AI-driven tax actions
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Regulation of automated audits
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Risk assessment and predictive analytics
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Tax transparency and disclosure rules
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Taxation of AI -driven business models
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Use of machine learning in revenue collection
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Governance frameworks for public sector AI
Authors
should read over the journal’s For Authors carefully before submission. Prospective
authors should submit an electronic copy of their complete manuscript through
the journal’s Paper Submission System.
Please
kindly specify the “Special Issue” under your manuscript title. The research
field “Special Issue - AI Governance and Tax Law” should be
selected during your submission.
Special Issue Timetable:
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Submission Deadline
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June 10th, 2026
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Publication Date
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August 2026
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Guest
Editor:
Prof. Paulo Caliendo
Tax Law, Pontifícia Universidade Católica
do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
For further questions or inquiries, please
contact Editorial Assistant at
E-mail: [email protected]
BLR Editorial Office
[email protected]