AI Act
Table of Contents
Chapter I – GENERAL PROVISIONS
Chapter II – PROHIBITED AI PRACTICES
Chapter III – HIGH-RISK AI SYSTEMS
Chapter IV – TRANSPARENCY OBLIGATIONS FOR PROVIDERS AND DEPLOYERS OF CERTAIN AI SYSTEMS
Chapter V – GENERAL-PURPOSE AI MODELS
Chapter VI – MEASURES IN SUPPORT OF INNOVATION
Chapter VII – GOVERNANCE
Chapter VIII – EU DATABASE FOR HIGH-RISK AI SYSTEMS
Chapter IX – POST-MARKET MONITORING, INFORMATION SHARING AND MARKET SURVEILLANCE
Chapter X – CODES OF CONDUCT AND GUIDELINES
Chapter XI – DELEGATION OF POWER AND COMMITTEE PROCEDURE
Chapter XII – PENALTIES
Chapter XIII – FINAL PROVISIONS
Recitals (180)
Annexes
Recital 75
(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.