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@incollection{ Tahraoui2023,
 title = {Defending Informational Sovereignty by Detecting Deepfakes: Risks and Opportunities of an AI-Based Detector for Deepfake-Based Disinformation and Illegal Activities},
 author = {Tahraoui, Milan and Krätzer, Christian and Dittmann, Jana},
 editor = {Herlo, Bianca and Irrgang, Daniel},
 year = {2023},
 booktitle = {Proceedings of the Weizenbaum Conference 2022: Practicing Sovereignty - Interventions for Open Digital Futures},
 pages = {142-161},
 address = {Berlin},
 publisher = {Weizenbaum Institute for the Networked Society - The German Internet Institute},
 issn = {2510-7666},
 doi = {https://doi.org/10.34669/wi.cp/4.14},
 abstract = {This paper will first investigate possible contributions that an AI-based detector for deepfakes could make to the challenge of responding to disinformation as a threat to democracy. Second, this paper will also investigate the implications of such a tool - which was developed, among other reasons, for security purposes - for the emerging European discourse on digital sovereignty in a global environment. While disinformation is surely not a new topic, recent technological developments relating to AI-generated deepfakes have increased the manipulative potential of video and audio-based contents spread online, making it a specific but important current challenge in the global and interconnected information context.},
 keywords = {künstliche Intelligenz; artificial intelligence; Digitalisierung; digitalization; Desinformation; disinformation; Falschmeldung; false report}}