Artificial intelligence


52 résultats

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…
  • #Professionnel
  • #Artificial intelligence

05 janvier 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…
  • #Professionnel
  • #Artificial intelligence
05 janvier 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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

05 janvier 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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
05 janvier 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.
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

05 janvier 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.
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
05 janvier 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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

05 janvier 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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
05 janvier 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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

05 janvier 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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
05 janvier 2026

Relying on the legal basis of legitimate interests to develop an AI system

Controllers will most commonly rely on their legitimate interests for the development of AI systems. However, it may only be used if its conditions are fulfilled and sufficient safeguards are in…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

05 janvier 2026

Relying on the legal basis of legitimate interests to develop an AI system

Controllers will most commonly rely on their legitimate interests for the development of AI systems. However, it may only be used if its conditions are fulfilled and sufficient safeguards are in…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
05 janvier 2026