The Legal Challenges of Artificial Intelligence in Transportation & Healthcare: Negligence under Malaysian and European Law

This paper explores the legal issues raised by the integration of artificial intelligence (AI) in two key sectors: transportation and healthcare. It examines the historical development of AI and the emerging legal challenges surrounding AI technologies. As autonomous transportation evolves, this paper traces its roots from early automotive advancements to modern AI-powered vehicles, emphasising the legal implications. In healthcare, the adoption of AI in diagnostics and treatments raises questions regarding liability when mistakes occur. This paper delves into the issue of whether AI systems should be granted legal personhood, entitling rights and responsibilities akin to humans. It also discusses the complexity in the law of negligence, particularly determining the duty of care and breach of duty of care involving autonomous systems. This paper also justified that liability should rest with the human agents involved in the creation and deployment of AI technologies due to their lack of personhood and capacity for moral judgement. A qualitative research methodology has been adopted to undertake in-depth research on case laws and regulations made on civil liability involving AI. The findings underscore the necessity for the legal framework to adapt evolving AI landscape, ensuring accountability while fostering innovation in both transportation and healthcare sectors.

Authors

Institutions

Publication Details

Journal
Asian Journal of Law and Policy
Published
2025-12-01
DOI
https://doi.org/10.33093/ajlp.2025.16
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Legal Challenges of Artificial Intelligence in Transportation & Healthcare: Negligence under Malaysian and European Law

Jessica Sinnappan
Asian Journal of Law and Policy
Artificial Intelligence in Healthcare and Education
article

The Legal Challenges of Artificial Intelligence in Transportation & Healthcare: Negligence under Malaysian and European Law

Jessica Sinnappan
article en

Abstract

This paper explores the legal issues raised by the integration of artificial intelligence (AI) in two key sectors: transportation and healthcare. It examines the historical development of AI and the emerging legal challenges surrounding AI technologies. As autonomous transportation evolves, this paper traces its roots from early automotive advancements to modern AI-powered vehicles, emphasising the legal implications. In healthcare, the adoption of AI in diagnostics and treatments raises questions regarding liability when mistakes occur. This paper delves into the issue of whether AI systems should be granted legal personhood, entitling rights and responsibilities akin to humans. It also discusses the complexity in the law of negligence, particularly determining the duty of care and breach of duty of care involving autonomous systems. This paper also justified that liability should rest with the human agents involved in the creation and deployment of AI technologies due to their lack of personhood and capacity for moral judgement. A qualitative research methodology has been adopted to undertake in-depth research on case laws and regulations made on civil liability involving AI. The findings underscore the necessity for the legal framework to adapt evolving AI landscape, ensuring accountability while fostering innovation in both transportation and healthcare sectors.

Asian Journal of Law and PolicyVol. 5(3)
Multimedia University (MY)
Multimedia University
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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.