AI Glossary

The use of AI for diagnostics, decision support or the processing of health data; often falling under both the medical devices regime and that for high-risk systems.

A reference to EU harmonization legislation; AI systems embedded in regulated products (e.g., medical devices, machinery) are classified as high-risk under it, with a longer transition period.

A list of areas in which standalone AI systems are considered high-risk, such as recruitment, credit scoring, education, law enforcement, migration and border management, and critical infrastructure.

The provision setting out the rules under which an AI system is considered high-risk, including exemptions for systems that do not pose a significant risk of harm.

A marking indicating a product's conformity with EU requirements; high-risk AI systems must bear it after a successful conformity assessment.

Technical standards being prepared by the European standardization organizations, compliance with which establishes a presumption of conformity of high-risk systems with the requirements of the AI Act.

Fixed deadlines that the Czech draft sets for the processes of authorizing the operation and testing of high-risk AI systems in real-world conditions.

A natural or legal person that uses an AI system in the course of its activities without being its provider; the AI Act imposes specific obligations on it, particularly for high-risk systems.

A data protection impact assessment that a controller must carry out for processing that poses a high risk to the rights and freedoms of individuals, often relevant to AI systems.

A document by which the provider declares that a high-risk AI system meets the requirements of the AI Act and other relevant regulations.

A technical standard adopted by the European standardization organizations, compliance with which establishes a presumption of conformity of a high-risk AI system with the requirements of the AI Act.

An AI system falling into the high-risk category under the AI Act, subject to strict requirements on risk management, data quality, documentation, transparency and human oversight.

Automatically created records of an AI system's activity that enable retrospective checking, auditing and incident handling; they are mandatory for high-risk systems.

An independent body tasked with assessing the conformity of high-risk AI systems with the requirements of the AI Act before they are placed on the market.

The obligation to enter a high-risk AI system into a public EU database before it is placed on the market or put into service, serving transparency and oversight.

The core regulatory logic of the AI Act, which classifies systems according to their level of risk into categories ranging from unacceptable risk (prohibition) through high risk (strict obligations) and limited risk (transparency obligations) to minimal risk.

The supervisory authority competent for the use of high-risk AI systems in the financial sector.

A package of targeted amendments to the AI Act agreed in 2026, which in particular postpones the applicability of the obligations for high-risk systems and introduces new prohibitions. The aim is simplification and more time to prepare standards.