Countering AI-powered disinformation through national regulation: learning from the case of Ukraine
Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can take and channels for its proliferation. In this context, the future of legal mechanisms to address AI-powered disinformation remains to be determined. Additional complexity for legislators working i...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1474034/full |
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| author | Anatolii Marushchak Stanislav Petrov Anayit Khoperiya |
| author_facet | Anatolii Marushchak Stanislav Petrov Anayit Khoperiya |
| author_sort | Anatolii Marushchak |
| collection | DOAJ |
| description | Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can take and channels for its proliferation. In this context, the future of legal mechanisms to address AI-powered disinformation remains to be determined. Additional complexity for legislators working in the field arises from the need to harmonize national legal frameworks of democratic states with the need for regulation of potentially dangerous digital content. In this paper, we review and analyze some of the recent discussions concerning the use of legal regulation in addressing AI-powered disinformation and present the national case of Ukraine as an example of developments in the field. We develop the discussion through an analysis of the existing counter-disinformation ecosystems, the EU and US legislation, and the emerging regulations of AI systems. We show how the Ukrainian Law on Counter Disinformation, developed as an emergency response to internationally recognized Russian military aggression and hybrid warfare tactics, underscores the crucial need to align even emergency measures with international law and principles of free speech. Exemplifying the Ukrainian case, we argue that the effective actions necessary for countering AI-powered disinformation are prevention, detection, and implementation of a set of response actions. The latter are identified and listed in this review. The paper argues that there is still a need for scaling legal mechanisms that might enhance top-level challenges in countering AI-powered disinformation. |
| format | Article |
| id | doaj-art-caa3c6cd15a04474a6e8fb5d7dd916ed |
| institution | Kabale University |
| issn | 2624-8212 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-caa3c6cd15a04474a6e8fb5d7dd916ed2025-01-07T06:51:39ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122025-01-01710.3389/frai.2024.14740341474034Countering AI-powered disinformation through national regulation: learning from the case of UkraineAnatolii Marushchak0Stanislav Petrov1Anayit Khoperiya2International Information Academy, Kyiv, UkraineThe Institute of Special Communication and Information Protection of the National Technical University of Ukraine "Ihor Sikorsky Kyiv Polytechnic Institute", Kyiv, UkraineDeputy Head of the Center for Countering Disinformation of the National Security and Defense Council of Ukraine, Kyiv, UkraineAdvances in the use of AI have led to the emergence of a greater variety of forms disinformation can take and channels for its proliferation. In this context, the future of legal mechanisms to address AI-powered disinformation remains to be determined. Additional complexity for legislators working in the field arises from the need to harmonize national legal frameworks of democratic states with the need for regulation of potentially dangerous digital content. In this paper, we review and analyze some of the recent discussions concerning the use of legal regulation in addressing AI-powered disinformation and present the national case of Ukraine as an example of developments in the field. We develop the discussion through an analysis of the existing counter-disinformation ecosystems, the EU and US legislation, and the emerging regulations of AI systems. We show how the Ukrainian Law on Counter Disinformation, developed as an emergency response to internationally recognized Russian military aggression and hybrid warfare tactics, underscores the crucial need to align even emergency measures with international law and principles of free speech. Exemplifying the Ukrainian case, we argue that the effective actions necessary for countering AI-powered disinformation are prevention, detection, and implementation of a set of response actions. The latter are identified and listed in this review. The paper argues that there is still a need for scaling legal mechanisms that might enhance top-level challenges in countering AI-powered disinformation.https://www.frontiersin.org/articles/10.3389/frai.2024.1474034/fulldisinformationartificial intelligencelawregulationpreventiondetection |
| spellingShingle | Anatolii Marushchak Stanislav Petrov Anayit Khoperiya Countering AI-powered disinformation through national regulation: learning from the case of Ukraine Frontiers in Artificial Intelligence disinformation artificial intelligence law regulation prevention detection |
| title | Countering AI-powered disinformation through national regulation: learning from the case of Ukraine |
| title_full | Countering AI-powered disinformation through national regulation: learning from the case of Ukraine |
| title_fullStr | Countering AI-powered disinformation through national regulation: learning from the case of Ukraine |
| title_full_unstemmed | Countering AI-powered disinformation through national regulation: learning from the case of Ukraine |
| title_short | Countering AI-powered disinformation through national regulation: learning from the case of Ukraine |
| title_sort | countering ai powered disinformation through national regulation learning from the case of ukraine |
| topic | disinformation artificial intelligence law regulation prevention detection |
| url | https://www.frontiersin.org/articles/10.3389/frai.2024.1474034/full |
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