Leveraging Existing Road-Vehicle Standards to Address EU AI Act Compliance

As AI systems are increasingly deployed in high-stakes domains, regulatory frameworks like the European Union AI Act (EU AIA) play a crucial role in ensuring their safe and re-sponsible use. While the EU AIA imposes stringent requirements on high-risk AI systems, second only to outright prohibitions, it provides only high-level guidance on implementation. This lack of detailed, practical instructions creates uncertainty for organizations, particularly in sectors that are already heavily regulated, such as the road-vehicle industry. To address this challenge, this paper examines how current road vehicle safety standards align with the EU AIA's requirements for high-risk AI systems. The outcome is a comprehensive mapping that highlights both alignments and gaps, offering valuable insights for organizations in both regulated and less-regulated sectors. Using this mapping, we present an exemplary assurance argumentation structure for one high-risk AI system requirement.

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Published
2025-04-29
DOI
https://doi.org/10.1109/raie66699.2025.00017
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Leveraging Existing Road-Vehicle Standards to Address EU AI Act Compliance

Lena Heidemann, Shanza Ali Zafar, Jessica M. Kelly, Núria Mata
Ethics and Social Impacts of AI
article

Leveraging Existing Road-Vehicle Standards to Address EU AI Act Compliance

Lena Heidemann, Shanza Ali Zafar, Jessica M. Kelly, Núria Mata
article en

Abstract

As AI systems are increasingly deployed in high-stakes domains, regulatory frameworks like the European Union AI Act (EU AIA) play a crucial role in ensuring their safe and re-sponsible use. While the EU AIA imposes stringent requirements on high-risk AI systems, second only to outright prohibitions, it provides only high-level guidance on implementation. This lack of detailed, practical instructions creates uncertainty for organizations, particularly in sectors that are already heavily regulated, such as the road-vehicle industry. To address this challenge, this paper examines how current road vehicle safety standards align with the EU AIA's requirements for high-risk AI systems. The outcome is a comprehensive mapping that highlights both alignments and gaps, offering valuable insights for organizations in both regulated and less-regulated sectors. Using this mapping, we present an exemplary assurance argumentation structure for one high-risk AI system requirement.

Fraunhofer Institute for Cognitive Systems (DE)
Openalex Percentile: Top 87%
Ethics and Social Impacts of AI
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Leveraging Existing Road-Vehicle Standards to Address EU AI Act Compliance — Lena Heidemann, Shanza Ali Zafar, et al. · (2025) | TGRS Research Map | TGRS