Bibtex export
@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}}