Promising practice :
Central Office for Information Technology in the Security Sector (Zentrale Stelle für Informationstechnologie im Sicherheitsbereich, ZITiS).
Federal and state police authorities.
National (Federal Ministry for Research and Education) – € 3 million.
In this research project, the use of AI to detect, prevent and prosecute hate crime in police organisations is being investigated within a holistic framework. Analysis of the organisational, ethical and legal framework necessary for the adoption of AI by the police to effectively prevent and prosecute hate crime is being undertaken. This framework, combined with the analysis of the effects of online hate crime on society, is used to define the technical conditions that are necessary for employing AI to classify hate speech according to:
The aim of the project is to produce a number of reports that outline the necessary conditions to enable the police to adopt AI to counter hate crime, and investigate the necessary technical approach and potential solutions. The technical results will be demonstrated in a prototype that the police will evaluate. Together, these analyses can be used to implement AI as a supporting tool for the police to prevent, reduce and prosecute hate crime carried out on the internet.
As the project has not yet been completed, an analysis of the critical success factors has not yet been undertaken.
Nine financed partners from public entities, universities and private enterprise are involved in the project, and a further four associated partners are participating in the design and implementation of the project. From the security sector, the following partners are involved:
The following university partners are involved:
The private firm Munich Innovation Labs is responsible for the technical implementation of the AI solutions.
No monitoring or evaluation has yet taken place.
Department of Big Data Analytics