DDAI - Explainable, Verifiable and Privacy-Preserving Data-Driven AI

Modern, data-driven AI is highly complex, the path from the data to the analysis result is difficult to understand and difficult to verify, and their application requires expert know-how that is not available at every company. Another factor is that the confidentiality of the data prevents company partners from sharing analysis results with one another. The goal of the module is to start at all of these points and to develop a secure, verifiable and explainable AI and to create a curriculum for users of this AI that aims to create an understanding for the handling of and the boundaries of AI. The module thus incorporates all stages of the data processing chain, from the data source to be verified and cryptographical procedures to the secure data processing and the user of the AI.