Defending Informational Sovereignty by Detecting Deepfakes: Risks and Opportunities of an AI-Based Detector for Deepfake-Based Disinformation and Illegal Activities
dc.contributor.author | Tahraoui, Milan | |
dc.contributor.author | Krätzer, Christian | |
dc.contributor.author | Dittmann, Jana | |
dc.date.accessioned | 2023-08-29T12:09:27Z | |
dc.date.available | 2023-08-29T12:09:27Z | |
dc.date.issued | 2023 | |
dc.description.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. | en |
dc.description.sponsorship | This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“) | |
dc.identifier.citation | Tahraoui, M., Kraetzer, C., & Dittmann, J. (2023). Defending Informational Sovereignty by Detecting Deepfakes: Risks and Opportunities of an AI-Based Detector for Deepfake-Based Disinformation and Illegal Activities. Proceedings of the Weizenbaum Conference 2022: Practicing Sovereignty, 142–161. https://doi.org/10.34669/WI.CP/4.14 | |
dc.identifier.doi | https://doi.org/10.34669/wi.cp/4.14 | |
dc.identifier.eissn | 2510-7666 | |
dc.identifier.uri | https://www.weizenbaum-library.de/handle/id/66 | |
dc.language.iso | eng | |
dc.publisher | Weizenbaum Institute | |
dc.relation.ispartof | https://doi.org/10.34669/WI.CP/4 | |
dc.relation.ispartofseries | Weizenbaum Conference Proceedings | |
dc.rights | open access | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Technology (Applied sciences) | en |
dc.subject | Technology Assessment | en |
dc.subject | artificial intelligence | en |
dc.subject | digitalization | en |
dc.subject | disinformation | en |
dc.subject | false report | en |
dc.subject | Technik, Technologie | de |
dc.subject | deepfake detection | de |
dc.subject | digital sovereignty | de |
dc.subject | remote ID proofing | de |
dc.subject | Technikfolgenabschätzung | de |
dc.subject | künstliche Intelligenz | de |
dc.subject | Digitalisierung | de |
dc.subject | Desinformation | de |
dc.subject | Falschmeldung | de |
dc.subject.ddc | 600 Technik | |
dc.subject.ddc | 300 Sozialwissenschaften | |
dc.subject.ddc | 004 Informatik | |
dc.title | Defending Informational Sovereignty by Detecting Deepfakes: Risks and Opportunities of an AI-Based Detector for Deepfake-Based Disinformation and Illegal Activities | |
dc.type | ConferencePaper | |
dc.type.status | publishedVersion | |
dcmi.type | Text | |
dcterms.bibliographicCitation.booktitle | Proceedings of the Weizenbaum Conference 2022 | |
dcterms.bibliographicCitation.originalpublisherplace | Berlin | |
dcterms.bibliographicCitation.pageend | 161 | |
dcterms.bibliographicCitation.pagestart | 142 |
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