Article 3 Definitions
For the purpose of this Regulation, the following definitions apply: (1) ‘artificial ‘‘artificial intelligence system’ (AI system) means software a machine-based system that is developed designed to operate with one or more varying levels of the techniques and approaches listed in Annex I autonomy and that can, for a given set of human-defined explicit or implicit objectives, generate outputs such as content, predictions, recommendations, or decisions influencing decisions, that influence physical or virtual environments; (1a) ‘risk’ means the environments they interact with; (1) ‘provider’ combination of the probability of an occurrence of harm and the severity of that harm; (1b) ‘significant risk’ means a natural or legal person, public authority, agency or other body risk that develops is significant as a result of the combination of its severity, intensity, probability of occurrence, and duration of its effects, and its the ability to affect an individual, a plurality of persons or to affect a particular group of persons; (1c) ‘foundation model’ means an AI system or model that has is trained on broad data at scale, is designed for generality of output, and can be adapted to a wide range of distinctive tasks; (1d) ‘general purpose AI system’ means an AI system developed with a view that can be used in and adapted to placing a wide range of applications for which it on was not intentionally and specifically designed; (1e) ‘large training runs’ means the market or putting it into service under its own name or trademark, whether for payment or free production process of charge; (3) ‘small-scale provider’ means a provider powerful AI model that is require computing resources above a micro or small enterprise within the meaning of Commission Recommendation 2003/361/EC ; very high threshold; deleted (4) ‘user’ ‘ deployer ’ means any natural or legal person, public authority, agency or other body using an AI system under its authority, authority except where the AI system is used in the course of a personal non-professional activity; (5) ‘authorised representative’ means any natural or legal person established in the Union who has received a written mandate from a provider of an AI system to, respectively, perform and carry out on its behalf the obligations and procedures established by this Regulation; (6) ‘importer’ means any natural or legal person established in the Union that places on the market or puts into service an AI system that bears the name or trademark of a natural or legal person established outside the Union; (7) ‘distributor’ means any natural or legal person in the supply chain, other than the provider or the importer, that makes an AI system available on the Union market without affecting its properties; (8) ‘operator’ means the provider, the user, deployer , the authorised representative, the importer and the distributor; (9) ‘placing on the market’ means the first making available of an AI system on the Union market; (10) ‘making available on the market’ (8a) ‘affected person’ means any supply of an AI system for distribution natural person or use on the Union market in the course group of a commercial activity, whether in return for payment persons who are subject to or free of charge; otherwise affected by an AI system; (11) ‘putting into service’ means the supply of an AI system for first use directly to the user deployer or for own use on the Union market for its intended purpose; (12) ‘intended purpose’ means the use for which an AI system is intended by the provider, including the specific context and conditions of use, as specified in the information supplied by the provider in the instructions for use, promotional or sales materials and statements, as well as in the technical documentation; (13) ‘reasonably foreseeable misuse’ means the use of an AI system in a way that is not in accordance with its intended purpose, purpose as indicated in instructions for use established by the provider , but which may result from reasonably foreseeable human behaviour or interaction with other systems; systems , including other AI systems ; (14) ‘safety component of a product or system’ means means, in line with Union harmonisation law listed in Annex II, a component of a product or of a system which fulfils a safety function for that product or system system, or the failure or malfunctioning of which endangers the health and safety of persons or property; persons; (15) ‘instructions for use’ means the information provided by the provider to inform the user deployer of in particular an AI system’s intended purpose and proper use, as well as information on any precautions to be taken; inclusive of the specific geographical, behavioural or functional setting within which the high-risk AI system is intended to be used; (16) ‘recall of an AI system’ means any measure aimed at achieving the return to the provider of an AI system that has been made available to users; (17) ‘withdrawal of an AI system’ means any measure aimed at preventing the distribution, display and offer of an AI system; (18) ‘performance of an AI system’ means the ability of an AI system to achieve its intended purpose; (19) ‘notifying authority’ means the national authority responsible for setting up and carrying out the necessary procedures for the assessment, designation and notification of conformity assessment bodies and for their monitoring; deployers ; (20) ‘conformity assessment’ means the process of verifying demonstrating whether the requirements set out in Title III, Chapter 2 of this Regulation relating to an AI system have been fulfilled; (21) ‘conformity assessment body’ means a body that performs third-party conformity assessment activities, including testing, certification and inspection; (22) ‘notified body’ means a conformity assessment body designated notified in accordance with this Regulation and other relevant Union harmonisation legislation; (23) ‘substantial modification’ means a change to modification or a series of modifications of the AI system following after its placing on the market or putting into service which affects is not foreseen or planned in the initial risk assessment by the provider and as a result of which the compliance of the AI system with the requirements set out in Title III, Chapter 2 of this Regulation is affected or results in a modification to the intended purpose for which the AI system has been assessed; (24) ‘CE marking of conformity’ (CE marking) means a physical or digital marking by which a provider indicates that an AI system or a product with an embedded AI system is in conformity with the requirements set out in Title III, Chapter 2 of this Regulation and other applicable Union legislation harmonising the conditions for the marketing of products (‘Union harmonisation legislation’) providing for its affixing; (25) ‘post-market monitoring’ means all activities carried out by providers of AI systems to proactively collect and review experience gained from the use of AI systems they place on the market or put into service for the purpose of identifying any need to immediately apply any necessary corrective or preventive actions; (26) ‘market surveillance authority’ means the national authority carrying out the activities and taking the measures pursuant to Regulation (EU) 2019/1020; (27) ‘harmonised standard’ means a European standard as defined in Article 2(1)(c) of Regulation (EU) No 1025/2012; (28) ‘common specifications’ means a document, other than a standard, containing technical solutions providing a means to, comply with certain requirements and obligations established under this Regulation; (29) ‘training data’ means data used for training an AI system through fitting its learnable parameters, including the weights of a neural network; parameters; (30) ‘validation data’ means data used for providing an evaluation of the trained AI system and for tuning its non-learnable parameters and its learning process, among other things, in order to prevent underfitting or overfitting; whereas the validation dataset can be is a separate dataset or part of the training dataset, either as a fixed or variable split; (31) ‘testing (33) ‘biometric data’ means biometric data used for providing an independent evaluation of the trained and validated AI system as defined in order to confirm the expected performance of that system before its placing on the market or putting into service; (32) ‘input data’ means data provided to or directly acquired by an AI system on the basis Article 4, point (14) of which the system produces an output; (33) ‘biometric Regulation (EU) 2016/679; (33a) ‘biometric-based data’ means personal data resulting from specific technical processing relating to the physical, physiological or behavioural characteristics signals of a natural person, which allow or confirm person; (33b ) ‘biometric identification’ means the unique identification automated recognition of physical, physiological, behavioural, and psychological human features for the purpose of establishing an individual’s identity by comparing biometric data of that individual to stored biometric data of individuals in a database (one-to-many identification); (33c) ‘biometric verification’ means the automated verification of the identity of natural person, such as facial images or dactyloscopic data; persons by comparing biometric data of an individual to previously provided biometric data (one-to-one verification, including authentication); (33d) ‘special categories of personal data’ means the categories of personal data referred to in Article 9(1) of Regulation (EU)2016/679; (34) ‘emotion recognition system’ means an AI system for the purpose of identifying or inferring emotions , thoughts, states of mind or intentions of natural persons individuals or groups on the basis of their biometric and biometric-based data; (35) ‘biometric categorisation system’ categorisation’ means an AI system for the purpose of assigning natural persons to specific categories, such as sex, age, hair colour, eye colour, tattoos, ethnic origin or sexual or political orientation, inferring their characteristics and attributes on the basis of their biometric data; or biometric-based data, or which can be inferred from such data ; (36) ‘remote biometric identification system’ means an AI system for the purpose of identifying natural persons at a distance through the comparison of a person’s biometric data with the biometric data contained in a reference database, and without prior knowledge of the user deployer of the AI system whether the person will be present and can be identified ; , excluding verification systems; (37) ‘‘real-time’ ‘“real-time” remote biometric identification system’ means a remote biometric identification system whereby the capturing of biometric data, the comparison and the identification all occur without a significant delay. This comprises not only instant identification, but also limited short delays in order to avoid circumvention. (38) ‘‘post’ remote biometric identification system’ means a remote biometric identification system other than a ‘real-time’ remote biometric identification system; circumvention; (39) ‘publicly accessible space’ means any publicly or privately owned physical place accessible to the public, regardless of whether certain conditions for access may apply; (40) ‘law enforcement authority’ means: (a) any public authority competent for the prevention, investigation, detection or prosecution of criminal offences or the execution of criminal penalties, including the safeguarding against and the prevention of threats to public security; or (b) any other body or entity entrusted by Member State law to exercise public authority apply , and public powers for the purposes of the prevention, investigation, detection or prosecution of criminal offences or the execution regardless of criminal penalties, including the safeguarding against and the prevention of threats to public security; potential capacity restrictions ; (41) ‘law enforcement’ means activities carried out by law enforcement authorities or on their behalf for the prevention, investigation, detection or prosecution of criminal offences or the execution of criminal penalties, including the safeguarding against and the prevention of threats to public security; (42) ‘national supervisory authority’ means the a public (AM 69) authority to which a Member State assigns the responsibility for the implementation and application of this Regulation, for coordinating the activities entrusted to that Member State, for acting as the single contact point for the Commission, and for representing the Member State at in the European Artificial Intelligence Board; management Board of the AI Office ; (43) ‘national competent authority’ means any of the national supervisory authority, the notifying authority and authorities which are responsible for the market surveillance authority; enforcement of this Regulation; (44) ‘serious incident’ means any incident or malfunctioning of an AI system that directly or indirectly leads, might have led or might lead to any of the following: (a) the death of a person or serious damage to a person’s health, to property or the environment, (b) a serious and irreversible disruption of the management and operation of critical infrastructure. infrastructure, (ba) a breach of fundamental rights protected under Union law, (bb) serious damage to property or the environment. (44a) ‘personal data’ means personal data as defined in Article 4, point (1) of Regulation (EU)2016/679; (44b) ‘non-personal data’ means data other than personal data; (44c) ‘profiling’ means any form of automated processing of personal data as defined in point (4) of Article 4 of Regulation (EU) 2016/679; or in the case of law enforcement authorities — in point 4 of Article 3 of Directive (EU) 2016/680 or, in the case of Union institutions, bodies, offices or agencies, in point 5 Article 3 of Regulation (EU) 2018/1725; (44d) ‘deep fake’ means manipulated or synthetic audio, image or video content that would falsely appear to be authentic or truthful, and which features depictions of persons appearing to say or do things they did not say or do, produced using AI techniques, including machine learning and deep learning; (44e) ‘widespread infringement’ means any act or omission contrary to Union law that protects the interest of individuals: (a) which has harmed or is likely to harm the collective interests of individuals residing in at least two Member States other than the Member State, in which: (i) the act or omission originated or took place; (ii) the provider concerned, or, where applicable, its authorised representative is established; or, (iii) the deployer is established, when the infringement is committed by the deployer; (b) which protects the interests of individuals, that have caused, cause or are likely to cause harm to the collective interests of individuals and that have common features, including the same unlawful practice, the same interest being infringed and that are occurring concurrently, committed by the same operator, in at least three Member States; (44f) ‘widespread infringement with a Union dimension’ means a widespread infringement that has harmed or is likely to harm the collective interests of individuals in at least two-thirds of the Member States, accounting, together, for at least two-thirds of the population of the Union; (44g) ‘regulatory sandbox’ means a controlled environment established by a public authority that facilitates the safe development, testing and validation of innovative AI systems for a limited time before their placement on the market or putting into service pursuant to a specific plan under regulatory supervision; (44h) ‘critical infrastructure’ means an asset, a facility, equipment, a network or a system, or a part of an asset, a facility, equipment, a network or a system, which is necessary for the provision of an essential service within the meaning of Article 2(4) of Directive (EU) 2022/2557; (44k) ‘social scoring’ means evaluating or classifying natural persons based on their social behaviour, socio-economic status or known or predicted personal or personality characteristics; (44l) ‘social behaviour’ means the way a natural person interacts with and influences other natural persons or society; (44m) ‘state of the art’ means the developed stage of technical capability at a given time as regards products, processes and services, based on the relevant consolidated findings of science, technology and experience; (44n) ‘testing in real world conditions’ means the temporary testing of an AI system for its intended purpose in real world conditions outside of a laboratory or otherwise simulated environment;