Custodian of Autonomous AI Systems in the UAE: An Adapted Legal Framework

The existence of a legal framework for Artificial Intelligence systems is of great importance for the growth and development of this advanced technology, especially given the growing sense of legal insecurity that may arise from potential irreparable harm. Therefore, the issue of legal liability for AI systems is one of the most critical legal topics that should receive the attention of legal literature. This paper critically examines the tempting analogy between the liability of custodians and the liability of operators of AI systems under UAE law. This paper seeks to address this legal gap, by offering suggestions and sharing examples of the legal requirements necessary to establish appropriate liability rules for AI. This legal gap can be filled by improving the provisions of custodian liability in UAE law. Our analysis focuses on three main concerns: (i) proposing an expansion of the concept of thingness; (ii) discussing the challenges of applying legal custodianship; and (iii) concluding that autonomous AI systems are inherently dangerous. In this context, it is particularly important to analyse the specific aspects that should be taken into consideration when operating advanced AI systems, which include mandatory registration and insurance. The article concludes that applying the custodian liability provisions to the operators of AI systems ensures the protection of third parties from potential damage on one hand. On the other hand, the specific regulations governing the operation of these AI systems encourage investment in this vital field.

Authors

Institutions

Publication Details

Journal
Laws
Published
2025-12-25
DOI
https://doi.org/10.3390/laws15010002
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Custodian of Autonomous AI Systems in the UAE: An Adapted Legal Framework

Mohamed Morsi Abdou
1 citations
Laws
Ethics and Social Impacts of AI
2.37
article

Custodian of Autonomous AI Systems in the UAE: An Adapted Legal Framework

Mohamed Morsi Abdou
article en
1 citations

Abstract

The existence of a legal framework for Artificial Intelligence systems is of great importance for the growth and development of this advanced technology, especially given the growing sense of legal insecurity that may arise from potential irreparable harm. Therefore, the issue of legal liability for AI systems is one of the most critical legal topics that should receive the attention of legal literature. This paper critically examines the tempting analogy between the liability of custodians and the liability of operators of AI systems under UAE law. This paper seeks to address this legal gap, by offering suggestions and sharing examples of the legal requirements necessary to establish appropriate liability rules for AI. This legal gap can be filled by improving the provisions of custodian liability in UAE law. Our analysis focuses on three main concerns: (i) proposing an expansion of the concept of thingness; (ii) discussing the challenges of applying legal custodianship; and (iii) concluding that autonomous AI systems are inherently dangerous. In this context, it is particularly important to analyse the specific aspects that should be taken into consideration when operating advanced AI systems, which include mandatory registration and insurance. The article concludes that applying the custodian liability provisions to the operators of AI systems ensures the protection of third parties from potential damage on one hand. On the other hand, the specific regulations governing the operation of these AI systems encourage investment in this vital field.

LawsVol. 15(1)
Kalmyk State University (RU)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.