UDTR Global Radar

UDTR Global Rights of Nature Radar

Documentary registry of records detected across the scholarly, legal and institutional infrastructures monitored by UDTR.

A global documentary infrastructure designed to achieve the broadest verifiable and scientifically defensible coverage of the Rights of Nature.

← Back to Radar

Towards Protecting the Injured Party from Errors and Hallucinations of Artificial Intelligence: A Contemporary Legal Perspective

Identification

Public canonical key
doi:10.12688/f1000research.179603.1
Authors
Nagwa Abouhaiba · Saed Ahmed Khouli · Maya Khater
Reported year
2026
Reported language
en
Source type
article
First detected
2026-11-09T19:04:47.728023+00:00
Last metadata observation
2026-11-09T19:04:47.728023+00:00
Last HTTP verification
Not checked

Institutions reported by the source

Abu Dhabi University · United Arab Emirates University

Reported affiliation countries

AE

Documentary abstract — original language

The world has been witnessing a growing and accelerating expansion in the use of artificial intelligence (AI) systems, as leading worldwide technology businesses compete to develop systems and software that can simulate the human mind, produce technological solutions, and accomplish activities that previously needed human mental effort. This has given rise to a host of new and unfamiliar legal challenges, including those connected to errors and 'hallucinations' that may produce inaccurate or misleading outputs. This paper examines the technical and practical risks associated with the use of AI, with a focus on the phenomenon of hallucinations that has recently become widely discussed, and its potential effects on users and third parties. This study adopts a comparative, analytical legal approach by analyzing the current legal framework to determine the extent to which the law protects the injured party, assessing the adequacy of existing civil-liability rules, and emphasizing the difficulties associated with proving fault and causation, as well as identifying the responsible party within the complex smart-transactions ecosystems. Accordingly, the objective of this paper is to determine how civil liability arising from the use of AI systems in numerous fields may be attributed, and to identify the future legal implications of such systems in light of the general rules of the UAE Civil Transactions Law and the substance of the EU regulation. Accordingly, the study presents a contemporary legal perspective on conventional culpability to safeguard the harmed person against AI faults and hallucinations. It concludes by proposing innovative legal mechanisms, such as strict (objective) liability, transparency obligations, and compulsory insurance, to compensate the injured party for 'digital harm' caused by AI technologies. The research indicates that legal responsibility and technical innovation must be balanced to safeguard the damaged party.

Identifiers

OPENALEX
W7155561573
DOI
10.12688/f1000research.179603.1

Documentary context

Documentary family
Scholarship
Source-reported types
article
Natural entities mentioned
Ecosystem

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

OpenAlex · Record 1 · Record 2

Documented bibliographic relations

Source-declared references and links; they do not establish legal support or UGLC qualification. Up to 20 outgoing references are displayed.

  • openalex:w4288729348 · CITES
  • openalex:w4405645206 · CITES
  • openalex:w4411456973 · CITES
  • openalex:w4412674679 · CITES
  • openalex:w4415295179 · CITES
  • openalex:w7117965429 · CITES
  • openalex:w7126387397 · CITES
  • openalex:w7128295992 · CITES
  • openalex:w7130504626 · CITES
  • openalex:w7135212330 · CITES
  • openalex:w7143516040 · CITES

0 incoming references within the detected corpus

Documentary field provenance

Source-backed values and values with unresolved provenance are kept separately. Bibliographic provenance validates no legal claim.

Title
Documentary source reported
Publication
Documentary source reported
Authors
Documentary source reported
Document type
Documentary source reported
Jurisdiction
Not recorded
Court
Not recorded
Issuing authority
Not recorded
Publisher
Not recorded
DOI
Documentary source reported
ISBN
Not recorded
Official identifier
Not recorded
Source URL
Documentary source reported
Source-reported status
Not recorded
Amendment / repeal
Not recorded

Cite this reference

Nagwa Abouhaiba; Saed Ahmed Khouli; Maya Khater. Towards Protecting the Injured Party from Errors and Hallucinations of Artificial Intelligence: A Contemporary Legal Perspective. 2026. https://doi.org/10.12688/f1000research.179603.1

JSON · CSL-JSON · BibTeX · RIS · CSV · JSON-LD ·

APA, Chicago, ISO 690: bibliographic formats using available fields. OSCOLA / Bluebook: structured data only; full legal citation compliance is not claimed without verification of required elements.

APA
Nagwa Abouhaiba; Saed Ahmed Khouli; Maya Khater. (2026). Towards Protecting the Injured Party from Errors and Hallucinations of Artificial Intelligence: A Contemporary Legal Perspective. https://doi.org/10.12688/f1000research.179603.1
Chicago
Nagwa Abouhaiba; Saed Ahmed Khouli; Maya Khater. Towards Protecting the Injured Party from Errors and Hallucinations of Artificial Intelligence: A Contemporary Legal Perspective. 2026. https://doi.org/10.12688/f1000research.179603.1
ISO 690
Nagwa Abouhaiba; Saed Ahmed Khouli; Maya Khater. Towards Protecting the Injured Party from Errors and Hallucinations of Artificial Intelligence: A Contemporary Legal Perspective. 2026. https://doi.org/10.12688/f1000research.179603.1

UDTR Global Rights of Nature Legal Library. Towards Protecting the Injured Party from Errors and Hallucinations of Artificial Intelligence: A Contemporary Legal Perspective. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-c305cf05bc626251ca1bbb2397966bc5/ · Last HTTP verification: not performed

Report a correction

Field provenance and record version

Version 2e66c07b41387647 · udtr-reference-1.1.2

Title
OpenAlex · source · 2026-11-09T19:04:47.728023+00:00
Authors
OpenAlex · source · 2026-11-09T19:04:47.728023+00:00
Year
OpenAlex · source · 2026-11-09T19:04:47.728023+00:00
Identifiers
OpenAlex · source · 2026-11-09T19:04:47.728023+00:00
Source URL
OpenAlex · source · 2026-11-09T19:04:47.728023+00:00

History tracks record metadata and does not certify the state of the law.

10bb978efe60959e · 2026-11-09T19:04:47.728023+00:00

d3234ef1a08da56b · 2026-11-09T19:04:47.728023+00:00

b9d473761ff82c56 · 2026-11-09T19:04:47.728023+00:00

2e66c07b41387647 · 2026-11-09T19:04:47.728023+00:00

Frozen-version metadata

Research dossiers and documentary relations

Abu Dhabi University

United Arab Emirates University

Maya Khater

Nagwa Abouhaiba

Saed Ahmed Khouli

Source roles

Discovery source · https://doi.org/10.12688/f1000research.179603.1

Discovery source · https://openalex.org/W7155561573

An authority link alone does not verify a legal claim. Abstracts and full texts remain subject to their source terms.

Documentary status

Relevance pending

Library

This identity is not yet included in the Legal Library.

UDTR Global Rights of Nature Legal Library