Artificial intelligence
The role of the Data Protection Officer (DPO) in the age of artificial intelligence: survey results released
The integration of AI into professional practices and the implementation of the AI regulation are creating new challenges for DPOs and their organisations. To better understand their expectations…
22 September 2026
The role of the Data Protection Officer (DPO) in the age of artificial intelligence: survey results released
The integration of AI into professional practices and the implementation of the AI regulation are creating new challenges for DPOs and their organisations. To better understand their expectations…
22 September 2026
AI: the CNIL updates its traceability tool for open-weights AI models
The CNIL releases a new version of its demonstrator for exploring the genealogy of open-weights AI models. This update notably improves the tool's performance and usability, and automates data…
26 August 2026
AI: the CNIL updates its traceability tool for open-weights AI models
The CNIL releases a new version of its demonstrator for exploring the genealogy of open-weights AI models. This update notably improves the tool's performance and usability, and automates data…
26 August 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
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
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