Digital signing of real-world data for AI sefaty

AI generated digital data is a growing issue in several instances of society.
AI-generated real-world looking data is impossible to distinguish from real
data such as pictures, video och audio generated from real scenes.
In this master thesis project we want to investigate how digital signatures can
be used to sign real-world generated data. The tool is intended to be used to
news-agencies to guarantee that the data is authentic. The project is an
interdisciplinary one where investigations about a user-interface and the
technical implementation need to be co-investigated to propose an optimal
implementation.