Natural Language, Legal Hurdles: Navigating the Complexities in Natural Language Processing Development and Application

Authors

DOI:

https://doi.org/10.22364/jull.17.03

Keywords:

natural language processing, copyright, artificial intelligence

Abstract

This article delves into the legal challenges faced in developing and deploying Natural Language Processing (NLP) technologies, focusing particularly on the European Union’s legal framework, especially the DSM Directive, the InfoSoc Directive, and the Artificial Intelligence Act. It addresses the legal status and accessibility of language data and the development of NLP technologies under both contractual and exception-based models. The authors acknowledge the partial truth in the saying, “US innovates, China replicates, and the EU regulates”. Although Europe’s AI sector is a global competitor and its strict regulations ensure ethical standards and data protection, these regulations might not necessarily boost competitiveness. Such stringent regulations can introduce complexities that may inhibit innovation relative to regions with more lenient policies.

Author Biographies

  • Ilya Ilin, Faculty of Law, University of Tartu

    Mg. iur.
    Faculty of Law, University of Tartu
    Doctoral student

  • Aleksei Kelli, Faculty of Law, University of Tartu

    PhD 
    Faculty of Law, University of Tartu
    Professor of Intellectual Property Law

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Published

2024-10-27

How to Cite

Ilin, I., & Kelli, A. (2024). Natural Language, Legal Hurdles: Navigating the Complexities in Natural Language Processing Development and Application. Journal of the University of Latvia. Law, 17, 44-67. https://doi.org/10.22364/jull.17.03