Requirements for Tax XAI Under Constitutional Principles and Human Rights

Authors
Publication date 2022
Host editors
  • D. Calvaresi
  • A. Najjar
  • M. Winikoff
  • K. Främling
Book title Explainable and Transparent AI and Multi-Agent Systems
Book subtitle 4th International Workshop, EXTRAAMAS 2022, virtual event, May 9–10, 2022 : revised selected papers
ISBN
  • 9783031155642
ISBN (electronic)
  • 9783031155659
Series Lecture Notes in Computer Science
Event 4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems
Pages (from-to) 221–238
Publisher Cham: Springer
Organisations
  • Faculty of Law (FdR) - Amsterdam Center for Tax Law (ACTL)
Abstract
Tax authorities worldwide make extensive use of artificial intelligence (AI) technologies to automate various aspects of their tasks, such as answering taxpayer questions, assessing fraud risk, risk profiling, and auditing (selecting tax inspections). Since this automation has led to concerns about the impact of non-explainable AI systems on taxpayers’ rights, explainable AI (XAI) technologies appear to be fundamental for the lawful use of AI in the tax domain. This paper provides an initial map of the explainability requirements that AI systems must meet for tax applications. To this end, the paper examines the constitutional principles that guide taxation in democracies and the specific human rights system of the European Convention of Human Rights (ECHR), as interpreted by the European Court of Human Rights (ECtHR). Based on these requirements, the paper suggests how approaches to XAI might be deployed to address the specific needs of the various stakeholders in the tax domain.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-031-15565-9_14
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