The research project is funded by the German Federal Ministry of Education and Research (BMBF) within the framework program "Research for Civil Security 2018-2023" in the program pillar "Protection against Crime and Terrorism".
- Bundeskriminalamt (BKA), Johannes Gutenberg-Universität Mainz (JGU), Ludwig-Maximilians-Universität München (LMU), Munich Innovation Labs GmbH (MIL), RWTH Universität Aachen (RWTH), Technische Universität Darmstadt (TUD), Universität Duisburg-Essen (UDE), Zentrale Stelle für Informationstechnik im Sicherheitsbereich (ZITiS)
The Network Enforcement Act (NetzDG) will also be amended by the Act to Combat Right-wing Extremism and Hate Crime, which comes into force at the beginning of 2021. So-called telemedia service providers such as Facebook will no longer only be required to delete criminal content, but also to report it to the Federal Criminal Police Office in the case of certain offences. Law enforcement agencies are faced with the challenge of having to evaluate a large number of postings from a criminal law perspective, among other things. In this research project we investigate how law enforcement agencies can be supported by the use of artificial intelligence (AI) and under which legal and ethical conditions AI systems could be used to support decision making. The overriding goals of the KISTRA network include
- the consideration of the legality and the ethical justifiability of the intended AI solutions and the resulting methods for security authorities
- the recognition and sociological examination of politically motivated hate speech and hate crime on the Internet,
- the development and implementation of adaptive AI methods to support the police criminal law assessment of hate crime incidents, and
- the holistic consideration of the individual technical components and scientific results and their transfer into a technical overall solution (framework).
As part of the research network, we are investigating the organizational framework for the handling and use of AI for the prosecution of hate crimes on the Internet at the Federal Criminal Police Office. In addition, we investigate the acceptance of AI-supported evaluation of online content by police users, the general public and professional stakeholders. For this purpose we use (expert) interviews and focus group interviews. Judicial authorities and other professional stakeholders are also included. The overall aim of the subproject is to introduce ethical and social questions into the development process of AI-based solutions in police authorities and thereby to help shape this process.
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