선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약

The report analyzes 215 cases of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The majority of these cases (90%) involved content creation, such as deepfake audio and video, and 69% were classified as harmful to the electoral process. A significant portion of the content (46%) had untraceable origins, while 20% was attributed to foreign actors, all of whom were found to be acting with harmful intent. The document advocates for increased transparency, disclosure mandates for AI-generated political content, and improved detection mechanisms to protect democratic integrity.

• Generative AI was prevalent in 2024 elections, with 80% of the 50 analyzed countries experiencing GenAI cases. The highest volumes of cases were recorded in India and the United States, with 30 cases each.
• The primary application of GenAI in elections is content creation, accounting for 90% of cases. This includes the production of audio messages, images, videos, and social media posts, often combined with targeted distribution to maximize influence.
• A large proportion of GenAI-generated electoral content has anonymous or untraceable origins. Specifically, 46% of cases had unknown sources, while 25% were produced by political candidates and parties, and 20% by foreign actors.
• The majority of GenAI applications in elections were harmful, with 69% of cases described as playing a detrimental role. Notably, 100% of GenAI use by foreign actors was conducted for harmful purposes.
• While predominantly harmful, GenAI has been used constructively in some instances. For example, 38% of use cases by domestic parties and candidates were classified as beneficial, such as using AI chatbots in Japan to engage voters.

APA

International Panel on the Information Environment (2025). 선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cb3311bb4c0a3808958_Final%20KO%20Elections%20SFP.pdf

Chicago

International Panel on the Information Environment. 선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cb3311bb4c0a3808958_Final%20KO%20Elections%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약 |date=January 2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cb3311bb4c0a3808958_Final%20KO%20Elections%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025, author = {{International Panel on the Information Environment}}, title = {{선거 캠페인에서의 생성형 AI: 글로벌 패턴 매핑 정책 입안자를 위한 요약}}, institution = {International Panel on the Information Environment}, year = {2025}, month = jan, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cb3311bb4c0a3808958_Final%20KO%20Elections%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }