PrivacyE2E

The project ‘Privacy-by-Design Framework for End-User-Oriented AI Systems’ (PrivacyE2E) develops concepts for the systematic construction of AI systems in which privacy is protected from training to productive use. The envisaged framework will support software developers in systematically identifying and specifying privacy requirements. Based on these requirements, a privacy-compliant AI system can be configured automatically. This makes it possible to continuously check whether the requirements are being met. In addition, the data can be optimised with privacy in mind. Furthermore, with the help of the new solution, citizens can obtain detailed information about the specific privacy characteristics of an AI system developed with the framework upon request.