Liability regulations and respective challenges in the European Union regarding the use of Artificial Intelligence tools

Artificial Intelligence (AI) advancements present both innovative opportunities and potential risks, particularly concerning opaque decision-making. The European Union (EU) aims to address these challenges through proposed legal frameworks such as the AI Liability Directive and revisions to the Product Liability Directive, alongside the AI Act. These regulations respond to the complexities of assigning liability in AI-related harm cases, where traditional legal frameworks are difficult to apply due to AI's inherent characteristics, such as black-box and lack of causality. Ensuring conformity with fundamental rights and public interest, these frameworks seek to balance innovation with accountability. However, challenges persist in determining liability when AI-driven systems cause harm, urging for the need to develop transparent AI models that document, explain, and validate decision-making processes. Robust oversight and ongoing education are essential for an ethical use of AI tools that ensure human agency and oversight. While these regulatory efforts signify progress, further steps are needed to establish a trustworthy AI ecosystem within the EU.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-09
DOI
https://doi.org/10.5281/zenodo.14623744
Primary Topic
Histone Deacetylase Inhibitors Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Liability regulations and respective challenges in the European Union regarding the use of Artificial Intelligence tools

Zenodo (CERN European Organization for Nuclear Research)
Histone Deacetylase Inhibitors Research
article

Liability regulations and respective challenges in the European Union regarding the use of Artificial Intelligence tools

article en

Abstract

Artificial Intelligence (AI) advancements present both innovative opportunities and potential risks, particularly concerning opaque decision-making. The European Union (EU) aims to address these challenges through proposed legal frameworks such as the AI Liability Directive and revisions to the Product Liability Directive, alongside the AI Act. These regulations respond to the complexities of assigning liability in AI-related harm cases, where traditional legal frameworks are difficult to apply due to AI's inherent characteristics, such as black-box and lack of causality. Ensuring conformity with fundamental rights and public interest, these frameworks seek to balance innovation with accountability. However, challenges persist in determining liability when AI-driven systems cause harm, urging for the need to develop transparent AI models that document, explain, and validate decision-making processes. Robust oversight and ongoing education are essential for an ethical use of AI tools that ensure human agency and oversight. While these regulatory efforts signify progress, further steps are needed to establish a trustworthy AI ecosystem within the EU.

Zenodo (CERN European Organization for Nuclear Research)
Friends United (US), Share and Care Foundation (US), Shine Micro (United States) (US)
Openalex Percentile: Top 58%
Histone Deacetylase Inhibitors Research
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