Artificial intelligence

The data annotation phase is crucial to ensure the quality of the AI model. This challenge can be achieved by means of a rigorous methodology guaranteeing performance for the system and protection of…

When it contains personal data, the creation of training datasets, as well as the development phase, must comply with the relevant regulations. The CNIL helps you determine the legal regime…

To ensure that the development of an AI system respects data protection, it is necessary to carry out a prior reflection when designing it. This sheet details the steps involved.

The CNIL wishes to provide concrete clarifications and recommendations for the development of artificial intelligence (AI) systems and the creation of datasets used for their training, when they…

An organisation that wishes to build a training dataset containing personal data and then use it to develop an AI system must ensure that the processing is lawful. The CNIL helps you determine your…

AI system providers who intend to create training datasets with personal data must determine their qualification under the GDPR: they may be qualified as controllers, joint controllers or processors…