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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

02 July 2024

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
02 July 2024

Respect and facilitate the exercise of data subjects’ rights

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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

02 July 2024

Respect and facilitate the exercise of data subjects’ rights

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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
02 July 2024

The legal basis of legitimate interests: Focus sheet on open source models

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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

02 July 2024

The legal basis of legitimate interests: Focus sheet on open source models

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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
02 July 2024

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

02 July 2024

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
02 July 2024

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

02 July 2024

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
02 July 2024

Determining the legal qualification of AI system providers

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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence

07 June 2024

Determining the legal qualification of AI system providers

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…
  • #Particulier
  • #Professionnel
  • #Artificial intelligence
07 June 2024