9 posts
What is automated decision-making, which decisions fall under KVKK, and how are the right to object, human intervention, and transparency ensured? A practical design guide.
KVKK and AI debates: consent versus legitimate interest, automated decisions, using data for model training, and cross-border data transfer, in a comprehensive guide for organizations.
KVKK practice in AI projects: the duty to inform, explicit consent, legitimate interest, VERBİS, the data-processing inventory, and DPIA explained step by step with templates.
What is LLM logging and why is it risky under KVKK? Personal data in logs, data masking, retention period, access control, and a compliance checklist in this comprehensive guide.
How do you build KVKK-compliant AI? Processing basis, data minimization, transparency, DPIA, automated decisions, cross-border transfer, and an item-by-item compliance checklist in this comprehensive pillar guide.
What is personal data? Personal data is any information relating to an identified or identifiable natural person. This guide: a clear definition, why personal data matters, the scope of Türkiye's KVKK, special categories of personal data, data processing, the disclosure obligation, its relationship with AI and LLMs, limits, and FAQs.
What is GDPR? GDPR (General Data Protection Regulation) is the EU's comprehensive data protection regulation governing the processing of personal data and binding every organization that serves people in the EU. This guide: a clear definition, how GDPR works, its core principles, the difference from KVKK, the right to be forgotten, compliance obligations, its link to AI, and FAQs.
What is KVKK-compliant AI? KVKK-compliant AI means building an AI system that processes personal data so that it conforms — from the design stage — to the legal basis, disclosure, data minimization, and security principles of Turkey's Law No. 6698 (KVKK). This guide: a clear definition, why it matters, how it works, on-premise AI, data anonymization, explicit consent, a compliance checklist, and FAQs.
What is data anonymization? Data anonymization is the irreversible transformation of personal data in a dataset so it can no longer be linked to an individual. This guide: a clear definition, data masking, the difference from pseudonymization, k-anonymity, the KVKK dimension, AI training, common mistakes, and FAQs.