AI Act Documents:

Annex XIV: The list of codes, categories and corresponding types of AI systems for the purpose of the notification procedure referred to in Article 30 specifying the scope of the designation as notified bodies

1. Introduction
Conformity assessmentConformity assessmentmeans the process of demonstrating whether the requirements set out in Chapter III, Section 2 relating to a high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) have been fulfilledArticle 3(20) of high-risk AI systems pursuant to this Regulation may require the involvement of conformity assessmentconformity assessmentmeans the process of demonstrating whether the requirements set out in Chapter III, Section 2 relating to a high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) have been fulfilledArticle 3(20) bodies. Only conformity assessmentconformity assessmentmeans the process of demonstrating whether the requirements set out in Chapter III, Section 2 relating to a high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) have been fulfilledArticle 3(20) bodies that have been designated in accordance with this Regulation may carry out conformity assessments and only for the activities related to the types of AI systems concerned. The list of codes, categories, and corresponding types of AI systems sets the scope of the designation of conformity assessmentconformity assessmentmeans the process of demonstrating whether the requirements set out in Chapter III, Section 2 relating to a high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) have been fulfilledArticle 3(20) bodies notified under Article 30.
2. List of Codes, categories, and corresponding AI systems
(a) AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to Annex I
AIP 0102 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 2 of Section A of Annex I
AIP 0103 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 3 of Section A of Annex I
AIP 0104 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 4 of Section A of Annex I
AIP 0105 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 5 of Section A of Annex I
AIP 0106 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 6 of Section A of Annex I
AIP 0107 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 7 of Section A of Annex I
AIP 0108 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 8 of Section A of Annex I
AIP 0109 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 9 of Section A of Annex I
AIP 0110 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 10 of Section A of Annex I
AIP 0111 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 11 of Section A of Annex I
AIP 0112 AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 12 of Section A of Annex I
(b) AI systems subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to point 1 of Annex III
AIB 0201 Remote biometric identificationbiometric identificationmeans the automated recognition of physical, physiological, behavioural, or psychological human features for the purpose of establishing the identity of a natural person by comparing biometric databiometric datameans personal data resulting from specific technical processing relating to the physical, physiological or behavioural characteristics of a natural person, such as facial images or dactyloscopic dataArticle 3(34) of that individual to biometric databiometric datameans personal data resulting from specific technical processing relating to the physical, physiological or behavioural characteristics of a natural person, such as facial images or dactyloscopic dataArticle 3(34) of individuals stored in a databaseArticle 3(35) systems
AIB 0202 Biometric categorisation AI systems
AIB 0203 Emotion recognition AI systems
3. AI technology-specific codes
(a) Symbolic AI and expert systems
AIH 0101 AI systems based on symbolic AI, expert and knowledge-based systems, and AI systems based on search and optimisation
(b) Machine learning, excluding generative AI and general-purpose AI systems
AIH 0201 AI systems that process structured data
AIH 0202 AI systems that process signal and audio data
AIH 0203 AI systems that process text data
AIH 0204 AI systems that process image and video
AIH 0205 AI systems that learn from their environment, excluding AI systems covered under AIH 0401
(c) AI systems based on general-purpose AI models or generative AI
AIH 0301 generative AI systems, including AI systems based on general-purpose AI models
(d) Emerging AI technologies
AIH 0401 AI systems based on other emerging AI technologies not covered by other codes, including Agentic AI
4. Application for designation
Conformity assessmentConformity assessmentmeans the process of demonstrating whether the requirements set out in Chapter III, Section 2 relating to a high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) have been fulfilledArticle 3(20) bodies shall use the lists of codes, categories and corresponding types of AI systems set out in this Annex when specifying the types of AI systems in the application for designation referred to in Article 29.