What obligations must high-risk AI systems comply with
AI systems classified as high-risk represent one of the most regulated areas of the AI Act. Unlike prohibited applications, these systems can be used, but only if they comply with a series of specific requirements.
Introduction
AI systems classified as high-risk represent one of the most regulated areas of the AI Act.
Unlike prohibited applications, these systems can be used, but only if they comply with a series of specific requirements.
These obligations are defined within the Artificial Intelligence Act and cover the entire lifecycle of the AI system.
Main requirements provided
The regulation introduces several obligations designed to ensure that AI systems are reliable, safe and controllable.
Among the main ones we find:
a structured risk management system
requirements on the quality of data used for training
the creation and maintenance of technical documentation
human oversight mechanisms
accuracy, robustness and security requirements.
These elements must be integrated from the design phase of the system.
An approach that covers the entire lifecycle
One of the most relevant aspects is that these obligations do not apply only to initial development.
The regulation requires that AI systems be monitored and updated even after they are put into production.
This implies the need for continuous processes of control, review and improvement.
Conclusion
For many organizations, complying with these requirements does not just mean adapting the technology, but introducing new internal processes.
It is precisely at this stage that the operational complexity of AI Act compliance emerges.