Data quality requirements for training data (Art. 10), GPAI data obligations (Art. 53), and personal data processing in sandboxes (Art. 59). Cross-cuts high-risk AI and general-purpose AI.
⚡ Cross-cutting theme — spans multiple categories
Articles (3) Article 10
Data and data governance
1. High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training,…
7 recitals Article 53
Obligations for providers of general-purpose AI models
1. Providers of general-purpose AI models shall: (a) draw up and keep up-to-date the technical documentation of the model, including its training and…
6 recitals Article 59
Further processing of personal data for developing certain AI systems in the public interest in the AI regulatory
sandbox 1. In the AI regulatory sandbox, personal data lawfully collected for other purposes may be processed solely for the purpose of developing,…
2 recitals Related Recitals (14) 64 To mitigate the risks from high-risk AI systems placed on the market or put into service and to ensure a high level of trustworthiness, certain mandatory requirements should apply to high-risk AI…
65 The risk-management system should consist of a continuous, iterative process that is planned and run throughout the entire lifecycle of a high-risk AI system. That process should be aimed at…
66 Requirements should apply to high-risk AI systems as regards risk management, the quality and relevance of data sets used, technical documentation and record-keeping, transparency and the provision…
67 High-quality data and access to high-quality data plays a vital role in providing structure and in ensuring the performance of many AI systems, especially when techniques involving the training of…
68 For the development and assessment of high-risk AI systems, certain actors, such as providers, notified bodies and other relevant entities, such as European Digital Innovation Hubs, testing…
69 The right to privacy and to protection of personal data must be guaranteed throughout the entire lifecycle of the AI system. In this regard, the principles of data minimisation and data protection by…
70 In order to protect the right of others from the discrimination that might result from the bias in AI systems, the providers should, exceptionally, to the extent that it is strictly necessary for the…
71 Having comprehensible information on how high-risk AI systems have been developed and how they perform throughout their lifetime is essential to enable traceability of those systems, verify…
103 Free and open-source AI components covers the software and data, including models and general-purpose AI models, tools, services or processes of an AI system. Free and open-source AI components can…
105 General-purpose AI models, in particular large generative AI models, capable of generating text, images, and other content, present unique innovation opportunities but also challenges to artists,…
106 Providers that place general-purpose AI models on the Union market should ensure compliance with the relevant obligations in this Regulation. To that end, providers of general-purpose AI models…
107 In order to increase transparency on the data that is used in the pre-training and training of general-purpose AI models, including text and data protected by copyright law, it is adequate that…
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