# Recital (75)

Technical robustness is a key requirement for high-risk AI systems. They should be resilient in relation to harmful or 
otherwise undesirable behaviour that may result from limitations within the systems or the environment in which 
the systems operate (e.g. errors, faults, inconsistencies, unexpected situations). Therefore, technical and 
organisational measures should be taken to ensure robustness of high-risk AI systems, for example by designing 
and developing appropriate technical solutions to prevent or minimise harmful or otherwise undesirable behaviour. 
Those technical solution may include for instance mechanisms enabling the system to safely interrupt its operation 
(fail-safe plans) in the presence of certain anomalies or when operation takes place outside certain predetermined 
boundaries. Failure to protect against these risks could lead to safety impacts or negatively affect the fundamental 
rights, for example due to erroneous decisions or wrong or biased outputs generated by the AI system.

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Source: Regulation (EU) 2024/1689 (Artificial Intelligence Act) as amended by Regulation (EU) 2026/1744, consolidated text of 27 July 2026 (Official Journal of the EU). This page is AI-generated legal information, not legal advice. Verify against the Official Journal.
Canonical: https://euaiactlaw.com/recital/75