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Neural Soft

Governance, compliance and security

Data protection and AI course (GDPR)

Use AI with personal data while complying with the GDPR by design.

Almost any use of AI in a company touches personal data: emails, customers, employees, conversations. The GDPR still applies and the AI Act does not replace it: the two add up.

This course teaches you to apply the GDPR to AI projects by design: choosing the legal basis, minimising data, reviewing vendors and their transfers, carrying out impact assessments and handling data subject rights, including automated decisions.

What you will learn

  • Apply GDPR principles to AI projects and tools
  • Choose the legal basis and minimise data
  • Review contracts and transfers with AI vendors
  • Carry out impact assessments for AI systems
  • Handle data subject rights

Syllabus

6 modules, from the fundamentals to the final project.

  1. GDPR and AI

    • Where personal data appears in an AI system
    • How the GDPR and the AI Act relate
  2. Principles

    • Lawfulness, purpose limitation and minimisation
    • Accuracy and storage limitation
  3. Vendors

    • Data processors and terms of use
    • International transfers
    • What to ask before signing
  4. Impact assessment

    • When it is mandatory
    • AI-specific risks
    • Coordinating with the AI Act assessment
  5. Rights and automated decisions

    • Information, access and erasure
    • Automated decision-making (GDPR Article 22)
  6. Privacy by design

    • Anonymisation and pseudonymisation
    • Local models and data control
    • Technical and organisational measures

Tools you will practise with

  • Impact assessment template
  • AI vendor checklist

Hands-on project

You carry out the privacy assessment of an AI use case in your organisation, analysing the legal basis, the vendor, the risks and the measures.

Requirements

  • Basic data protection knowledge recommended.

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