Zum Inhalt springen
>_<
AI EngineeringWiki

GDPR Basics

Compliance Β· 6 min

GDPR (German: DSGVO) is the European data protection regulation. It applies to any company processing personal data of EU citizens - regardless of where the company is located.

Key Principles

  • Lawfulness: You need a legal basis for processing
  • Purpose limitation: Only use data for stated purposes
  • Data minimization: Only collect what you need
  • Accuracy: Keep data accurate
  • Storage limitation: Delete when no longer needed
  • Integrity & confidentiality: Secure processing

Legal Bases (Art. 6)

BasisDescriptionAI Example
ConsentVoluntary, revocableNewsletter, personalization
ContractNecessary for contractOrder processing
Legitimate interestBalance with data subject rightsFraud prevention

Rights of Data Subjects (Art. 15-22)

  • Right of access (Art. 15) β€” What data is processed?
  • Right to rectification (Art. 16) β€” Correct wrong data
  • Right to erasure (Art. 17) β€” "Right to be forgotten"
  • Right to restriction (Art. 18) β€” Stop processing
  • Data portability (Art. 20) β€” Move data to another system
  • Right to object (Art. 21) β€” Object to certain processing

Local AI = GDPR Advantage

  • βœ… No third-country transfer β€” Data stays in EU
  • βœ… Full control β€” You decide who has access
  • βœ… No third-country transfer needed β€” Data stays in the EU (Art. 44 ff. GDPR)
  • βœ… Easy documentation β€” All on your hardware
  • βœ… Fast deletion β€” Physical control over data

Related articles: EU AI Act Β· Chatbot Transparency

For implementation support, find resources at ai-engineering.at.

Next step: operationalize compliance

Use ready-to-run GDPR templates, checklists and practical guidance for AI systems that need documentation and auditability.

Why AI Engineering
  • Local and self-hosted by default
  • Documented and auditable
  • Built from our own runtime
  • Made in Austria
Not legal advice.