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Research Paper Volume 7 Issue 2 1095 - 1118 April 1, 2024

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

Lead author · Corresponding
Undie Franka Anyama
Student at Department of Mechanics and Control Processes, Academy of Engineering, Рeoples’ Friendship University of Russia, Russia
Co-author
Awuku Samuel Opoku
Student at Department of Chemistry, University of Manitoba, Canada
Co-author
Undie Victor Agorye
Student at Department of Anatomy, Basic medical Sciences, University of Calabar, Calabar, Nigeria
Abstract

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.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 2, Page 1095 - 1118
Creative Commons
CC BY-NC 4.0 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
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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