The impact of artificial intelligence on the legal validity of electronic signatures

Authors

  • JAZOULI Yasmine
  • JOUIDI Driss

DOI:

https://doi.org/10.5281/zenodo.14598483

Keywords:

Artificial Intelligence, electronic signatures, legal validity, security.

Abstract

The advent of Artificial Intelligence has caused a great change in many legal arenas, but the consequences for the legal status of electronic signatures seem to be the most interesting. In this paper, an attempt is made to establish a conceptual framework for understanding how AI interacts with the authentication and veracity of an electronic signature, by undertaking an in-depth examination of associated legal challenges. The result of this effort will follow from a methodological framework that combines a documentary analysis of regulatory texts with the examination of case studies about AI applications regarding the verification of electronic signatures. First, it involves the reliability of an artificial intelligence system regarding authenticity and validity of electronic signature as against regulatory requirements like eIDAS regulation in Europe and the ESIGN Act in the United States. he preliminary results show that AI is equipping voices to strengthen the security of electronic signatures, while generating new questions relating to liability and compliance. This article concludes with a series of recommendations and guidelines for the conflict-free integration of AI into legal proceedings, and the need to demand regulation to guarantee the evidence of electronic signatures in the digital age. The aim is therefore to share an analysis that sheds light on the prospects of AI with legal systems dealing with electronic signatures to make law a discursive and secure place of practice in the future.

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Published

2025-01-04

How to Cite

JAZOULI Yasmine, & JOUIDI Driss. (2025). The impact of artificial intelligence on the legal validity of electronic signatures. International Journal of Economic Studies and Management (IJESM), 4(6), 1477–1487. https://doi.org/10.5281/zenodo.14598483