Unlocking the Digital Inheritance: How Artificial Intelligence can Revolutionize the Transfer of Digital Assets

  • Undie Franka Anyama,
  • Awuku Samuel Opoku and Undie Victor Agorye
  • Show Author Details
  • Undie Franka Anyama

    Student at Department of Mechanics and Control Processes, Academy of Engineering, Рeoples’ Friendship University of Russia, Russia

  • Awuku Samuel Opoku

    Student at Department of Chemistry, University of Manitoba, Canada

  • Undie Victor Agorye

    Student at Department of Anatomy, Basic medical Sciences, University of Calabar, Calabar, Nigeria

  • img Download Full Paper


In our digitally evolving world, the transfer of digital assets presents intricate challenges at the intersection of law and technology. This article explores the complexities arising from the inheritance of "digital" entities, including social media accounts and virtual property. Emphasizing the necessity for adaptive inheritance laws in the face of digitalization, the article focuses on the transformative role of artificial intelligence (AI). It delves into challenges such as delineating procedures for inheriting digital rights, determining the fate of personal data, and addressing ethical considerations in digital asset inheritance. Drawing insights from Russian and international cases, the article highlights AI's potential to innovate solutions, underlining the central role of interdisciplinary collaboration involving legal scholars, IT experts, and practitioners. The comprehensive approach integrates legal literature, case studies, and technological advancements, providing a holistic perspective on the challenges and opportunities in digital asset inheritance. As a precursor to an upcoming conference, the article aims to foster collaboration for AI-driven solutions.


Research Paper


International Journal of Law Management and Humanities, Volume 7, Issue 2, Page 1095 - 1118

DOI: https://doij.org/10.10000/IJLMH.117159

Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.


Copyright © IJLMH 2021