Artificial intelligence
Generative AI and privacy: the PIPC and the CNIL jointly produced a poster to raise awareness among AI users about data protection
As part of their partnership, the CNIL and the PIPC (South Korea’s data protection authority) have produced a poster explaining how to protect your personal data when using generative AI services.
27 May 2026
Generative AI and privacy: the PIPC and the CNIL jointly produced a poster to raise awareness among AI users about data protection
As part of their partnership, the CNIL and the PIPC (South Korea’s data protection authority) have produced a poster explaining how to protect your personal data when using generative AI services.
27 May 2026
Ensuring the security of an AI system’s development
The security of AI systems is an issue too often overlooked by their designers. However, it remains an obligation to guarantee data protection both during the development of the system and in…
05 January 2026
Ensuring the security of an AI system’s development
The security of AI systems is an issue too often overlooked by their designers. However, it remains an obligation to guarantee data protection both during the development of the system and in…
05 January 2026
AI system development: CNIL’s recommendations to comply with the GDPR
To help professionals reconcile innovation and respect of people’s rights, the CNIL has published its first recommendations on the application of the GDPR to the development of artificial…
05 January 2026
AI system development: CNIL’s recommendations to comply with the GDPR
To help professionals reconcile innovation and respect of people’s rights, the CNIL has published its first recommendations on the application of the GDPR to the development of artificial…
05 January 2026
Informing data subjects
Organizations that process personal data to develop AI models or systems must inform concerned data subjects. The CNIL specifies the obligations in this regard.
05 January 2026
Informing data subjects
Organizations that process personal data to develop AI models or systems must inform concerned data subjects. The CNIL specifies the obligations in this regard.
05 January 2026
Annotating data
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…
05 January 2026
Annotating data
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…
05 January 2026
Analysing the status of an AI model with regard to the GDPR
AI models may be subjected to the GDPR if they store personal data from their training process. The CNIL proposes a method for providers to assess whether or not their models are subjected to the…
05 January 2026
Analysing the status of an AI model with regard to the GDPR
AI models may be subjected to the GDPR if they store personal data from their training process. The CNIL proposes a method for providers to assess whether or not their models are subjected to the…
05 January 2026