Work

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

Year: 2024

Type: article

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.

Source: JOURNAL OF THE UNIVERSITY OF LATVIA LAW

DOI: 10.22364/jull.17.03

Authors: Ilya Ilin, Aleksei Kelli

Institution: University of Tartu

Language: English

Topic: Digitalization, Law, and Regulation

Subfield: Law

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: diamond

Funder: Linköpings Universitet