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LEGAL LIABILITY OF AN ORGANISATION USING ARTIFICIAL INTELLIGENCE

Szymon Rubisz

2024 · DOI: 10.29119/1641-3466.2024.212.29
Scientific Papers of Silesian University of Technology. Organization and Management Series · 2 Citations

TLDR

The analysis reveals that while AI greatly enhances efficiency and innovation, it also introduces complex legal risks, particularly concerning data privacy, liability, and intellectual property, and in many cases, existing rules and laws may be adequate to deal with potential infringements using AI.

Abstract

Purpose: an analysis of the impact of artificial intelligence on organisations, with a particular

focus on the legal liability associated with the use of AI-based tools.

Design/methodology/approach: legal and qualitative analysis of AI’s impact on organizations,

focusing on general principles of civil law and regulatory frameworks like the AI Act.

The paper adopts a formal-dogmatic method of interpreting legal texts and case-study approach,

examining specific instances of AI use, and covers theoretical aspects of liability, data privacy,

intellectual property etc.

Findings: the analysis reveals that while AI greatly enhances efficiency and innovation, it also

introduces complex legal risks, particularly concerning data privacy, liability, and intellectual

property. In many cases, existing rules and laws may be adequate to deal with potential

infringements using AI. The EU legislation being implemented provides for new specific

obligations for AI operators complementing existing spheres of legal liability. Due to the legal

uncertainty, organisational managers have to balance efficiency and accountability.

Originality/value: an analysis of the impact of artificial intelligence (AI) on the legal liability

of organisations, particularly in the context of civil and administrative law (within EU).

The paper highlights AI as a key tool in organisations, but also identifies legal risks due to the

lack of national legislation specific to AI. It is intended for decision-makers implementing

AI within organisations.