In which sectors does the AI Act consider systems to be high-risk?
After defining what high-risk AI systems are, it is important to understand in which contexts this classification concretely applies. The European regulation identifies specific areas where the use of AI is considered particularly sensitive.
Introduction
After defining what high-risk AI systems are, it is important to understand in which contexts this classification concretely applies.
The European regulation does not limit itself to an abstract definition but identifies specific areas where the use of AI is considered particularly sensitive.
These sectors are listed and detailed within the Artificial Intelligence Act and represent one of the most operational elements of the regulation.
Main areas of application
AI systems are generally classified as high-risk when they operate in contexts where they can influence fundamental rights or individual opportunities.
Among the main sectors identified we find:
- Human resources, for example systems for selecting or evaluating candidates
- Education, such as systems used for assessments or access to training paths
- Financial services, particularly for credit granting
- Healthcare, where AI can support diagnoses or clinical decisions
- Critical infrastructure, such as energy or transport
Why these sectors are considered critical
In all these areas, decisions supported or automated by artificial intelligence can have significant consequences.
An error, a distortion in the data, or a lack of control can result in discrimination, exclusion, or safety risks.
For this reason, the European legislator decided to introduce more stringent requirements precisely in these contexts.
Conclusion
For many companies, identifying whether their AI systems operate in one of these sectors represents a fundamental step.
It is in fact from this classification that most of the compliance obligations provided for by the regulation depend.