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Révision datée du 5 décembre 2023 à 15:37 par Juliette (discussion | contributions) (Page créée avec « * Set up an ethics and risk committee to select the use cases for artificial intelligence that are relevant to the company and the authorized data. * Inform artificial intelligence and data teams of their rights and obligations when handling data, and the associated risks. * Train artificial intelligence and data teams in best practices for secure data handling (anonymization, encryption, etc.), distributed learning techniques and secure development. * Define for... »)
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  • Set up an ethics and risk committee to select the use cases for artificial intelligence that are relevant to the company and the authorized data.
  • Inform artificial intelligence and data teams of their rights and obligations when handling data, and the associated risks.
  • Train artificial intelligence and data teams in best practices for secure data handling (anonymization, encryption, etc.), distributed learning techniques and secure development.
  • Define for each project: data that cannot be transmitted to the system, acceptable system deviation/relevance limits and data theft signals (query volume, targeted queries on critical data, etc.).