Legal Challenges for Automated Decision-Making in Self-Driving Vehicles—Liability Issues and Remedies

Rapid advancements in technology have resulted in the proliferation of self-driving vehicles, which have already presented significant challenges to the field of legal science. In the context of automated decision-making, the question of liability is invariably pertinent. The question of whether liability should be assigned to a non-human entity or to a group of people is a contentious one. Furthermore, the question of which entity should be held liable for compensation for damage caused and which entity should be criminally liable remains unresolved. In the context of self-driving vehicles operating at a lower level of automation, the identification of the driver’s liability, ostensibly a straightforward undertaking, gives rise to a multitude of intricate ethical dilemmas. In addition to the prevailing assumptions regarding liability, which have previously been discussed in detail in the literature, the study also addresses the issue of transparency in automated decision-making related to legal remedies.

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Published
2025-11-06
DOI
https://doi.org/10.3390/engproc2025113032
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Legal Challenges for Automated Decision-Making in Self-Driving Vehicles—Liability Issues and Remedies

Dorottya Biczi
Ethics and Social Impacts of AI
article

Legal Challenges for Automated Decision-Making in Self-Driving Vehicles—Liability Issues and Remedies

Dorottya Biczi
article en

Abstract

Rapid advancements in technology have resulted in the proliferation of self-driving vehicles, which have already presented significant challenges to the field of legal science. In the context of automated decision-making, the question of liability is invariably pertinent. The question of whether liability should be assigned to a non-human entity or to a group of people is a contentious one. Furthermore, the question of which entity should be held liable for compensation for damage caused and which entity should be criminally liable remains unresolved. In the context of self-driving vehicles operating at a lower level of automation, the identification of the driver’s liability, ostensibly a straightforward undertaking, gives rise to a multitude of intricate ethical dilemmas. In addition to the prevailing assumptions regarding liability, which have previously been discussed in detail in the literature, the study also addresses the issue of transparency in automated decision-making related to legal remedies.

Széchenyi István University (HU)
European Commission
Openalex Percentile: Top 68%
Ethics and Social Impacts of AI
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Legal Challenges for Automated Decision-Making in Self-Driving Vehicles—Liability Issues and Remedies — Dorottya Biczi · (2025) | TGRS Research Map | TGRS