选举活动中的生成式智能：全球模式图谱 政策制定者摘要

The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related events, with 69% of these events having a harmful impact. The majority of GenAI use focused on content production, and nearly half of the events had unknown sources.

• GenAI was prevalent in 2024 elections, appearing in 80% of the countries that held competitive national elections. India and the United States recorded the highest number of events, with 30 each.
• A significant portion of GenAI activity lacks clear attribution: 46% of events had unknown sources, while political candidates and parties were responsible for 25% and foreign actors for 20%. Among cases with unknown sources, 79% were suspected of political manipulation.
• Most GenAI applications in elections were harmful, with 69% of events categorized as having a negative impact. Notably, 100% of GenAI use attributed to foreign actors served harmful purposes, whereas 38% of use by national parties and candidates was categorized as beneficial.

APA

International Panel on the Information Environment (2025). 选举活动中的生成式智能：全球模式图谱 政策制定者摘要. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cd40eb47fa7e1641fac_Final%20ZH%20Elections%20SFP.pdf

Chicago

International Panel on the Information Environment. 选举活动中的生成式智能：全球模式图谱 政策制定者摘要. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cd40eb47fa7e1641fac_Final%20ZH%20Elections%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=选举活动中的生成式智能：全球模式图谱 政策制定者摘要 |date=January 2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cd40eb47fa7e1641fac_Final%20ZH%20Elections%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025, author = {{International Panel on the Information Environment}}, title = {{选举活动中的生成式智能：全球模式图谱 政策制定者摘要}}, institution = {International Panel on the Information Environment}, year = {2025}, month = jan, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cd40eb47fa7e1641fac_Final%20ZH%20Elections%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }