Individuals whose data is collected, used or reused to develop an AI system have rights over their data that allow them to maintain control over it. The controllers are responsible to comply with…

Organizations that process personal data to develop AI models or systems must inform concerned data subjects. The CNIL specifies the obligations in this regard.   This how-to sheet is open…

The development of an artificial intelligence system requires rigorous management and monitoring of training data. The CNIL details how data protection principles relate to training data management.

In view of their potential benefits, open source practices should be considered when assessing legitimate interests of an AI system provider. However, it is necessary to adopt safeguards to limit the…

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…