|
Legal Liability of Artificial Intelligence Algorithms in Decision-Making and the Legal Status of Users
|
| |
|
|
|
Abstract: (10 Views) |
| The rapid expansion of artificial intelligence (AI) systems in sensitive decision-making processes has created fundamental challenges in the fields of civil liability and the legal status of users. This study aims to examine the foundations and challenges of attributing liability arising from algorithmic decisions and to assess the adequacy of traditional legal rules in addressing such challenges. The research employs a descriptive-analytical methodology based on library research and a comparative examination of the regulations of leading legal systems, particularly those of the European Union. The findings indicate that traditional legal concepts such as fault, causation, and foreseeability are no longer fully capable of accurately explaining liability in the context of learning technologies. Without reconsidering these concepts, the possibility of providing effective compensation to injured parties may be seriously limited. The results further demonstrate that users, as stakeholders in AI-based decision-making processes, require recognition of fundamental rights, including the right to information, the right to contest decisions, and the right to human review, in order to establish a legal balance between users and service providers. The comparative analysis shows that the development of binding and structured legal rules, together with the adoption of a multilayered approach based on institutional responsibility, protective mechanisms, and international coordination, is an unavoidable necessity. The overall conclusion of the study is that only through such a framework can justice, transparency, and effective compensation be ensured in the digital environment. |
|
Article number: 3 |
| Keywords: Artificial Intelligence, Civil Liability, User Rights, Algorithmic Decisions, Legal Rules. |
|
|
Full-Text [PDF 970 kb]
(2 Downloads)
|
Type of Study: Research |
Subject:
General
Received: 2025/12/15 | Revised: 2026/08/20 | Accepted: 2026/04/19 | Published: 2026/09/23
|
|
|
|
|
|
|
| Add your comments about this article |
|
|
|
.png)
