Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей

The report analyzes 215 incidents of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The vast majority of use (90%) focused on content creation, and 69% of incidents were classified as harmful. A significant portion of GenAI content (46%) remains unattributed, while 20% is linked to foreign actors, all of whom were found to have harmful intentions. The document advocates for mandatory disclosure and transparency standards to protect electoral processes.

• Generative AI was present in the vast majority of competitive national elections in 2024, with 80% of the 50 studied countries recording incidents. The highest volume of incidents occurred in India and the United States, with 30 incidents each.
• The primary application of GenAI in elections is the production of synthetic content, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and social media posts, often used to fabricate statements or impersonate figures.
• Attribution of GenAI content is frequently impossible, with 46% of incidents having an unknown source. Among known sources, political candidates and parties were responsible for 25%, while foreign actors accounted for 20%.
• Most GenAI applications in the studied elections were harmful, with 69% of incidents classified as having a negative role. Notably, 100% of GenAI use attributed to foreign actors was intended to be harmful.
• While predominantly harmful, GenAI has been used constructively by some political parties (38% of their cases were 'useful'), such as using chatbots in Japan to engage voters or creating content in local dialects to reach underserved populations.
• The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI and information campaigns contributed to the annulment of presidential election results.

APA

International Panel on the Information Environment (2025). Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf

Chicago

International Panel on the Information Environment. Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей |date=2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025, author = {{International Panel on the Information Environment}}, title = {{Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей}}, institution = {International Panel on the Information Environment}, year = {2025}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }