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GDPR preconditions for generative AI.pdf

Keypoints:

Preconditions for Developing Generative AI

  1. Purpose limitation: Establish specific purposes for processing personal data.
  2. Data minimization: Process only the necessary personal data.
  3. Transparency: Clearly inform data subjects about the processing of their personal data.

Preconditions for Deploying Generative AI Applications

  1. Accuracy: Ensure that generated content is accurate and free from errors.
  2. Error reduction: Take measures to reduce the reproduction of incorrect and unwanted personal data.
  3. Transparency: Inform data subjects about the possibility of erroneous or unwanted outputs in generative AI applications.

Actions by the AP (Autoriteit Persoonsgegevens)

  1. Monitoring illegalities: Monitor illegal activities related to generative AI.
  2. Guidelines for AI literacy: Provide guidance on AI literacy and organize seminars.
  3. Prior consultation: Offer prior consultation services for organizations working with generative AI.
  4. Sandbox process: Establish a sandbox process for high-risk applications under the AI Act.
  5. Identifying questions and challenges: Organize meetings and set up an online platform to identify questions and challenges surrounding the responsible development and deployment of generative AI.

Published: · Source: NLAP

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