Name in original language
Üretken Yapay Zekâ ve Kişisel Verilerin Korunması Rehberi (15 Soruda)
Initiative overview
The rapid spread of generative AI systems has increased the scale and complexity of data processing across many sectors. These systems often rely on large and diverse datasets and generate new content in ways that may affect privacy, transparency and accountability. This raises considerations about how personal data should be protected when generative AI systems are developed and used.
The objective of the initiative is to support the protection of personal data in the context of generative AI systems by providing practical guidance. It aims to promote a privacy-respecting approach throughout the lifecycle of generative AI, and to help organisations and other actors understand how to apply data protection regulations when developing, deploying or using these systems.
In the future, the guideline is expected to remain available as a general reference for understanding data protection considerations related to generative AI systems. It may be used by interested stakeholders as a non-binding source of information when considering privacy issues throughout the lifecycle of generative AI systems.
This document does not establish new obligations and is intended to complement the existing data protection framework.
