Generative KI in Wahlkampagnen: Kartierung globaler Muster

The report analyzes 215 incidents of GenAI use in 2024 elections, finding that 80% of countries with competitive elections experienced such incidents. The majority of these cases involved content creation (90%) and were deemed harmful to the electoral process (69%). A significant portion of the sources remain unknown (46%), while political candidates (25%) and foreign actors (20%) are the primary identified sources. The document recommends transparency standards and disclosure requirements to protect electoral integrity.

• Generative AI was utilized in 80% of the countries that held competitive national elections in 2024. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.
• The primary application of GenAI in elections is content creation, accounting for 90% of reported incidents. This includes the production of audio messages, images, videos, and social media posts.
• Attributing the source of GenAI content is difficult, as the origin was unknown in 46% of cases. Among identified sources, political candidates and parties accounted for 25%, and foreign actors accounted for 20%.
• The majority of GenAI applications in elections are detrimental, with 69% of recorded incidents classified as harmful. Notably, 100% of the GenAI use attributed to foreign actors served harmful purposes.
• While largely harmful, GenAI has been used constructively by some political actors. In Japan, candidates used GenAI-powered chatbots to engage with voters, and 38% of reported uses by national political parties and candidates were classified as useful.
• Specific examples of harmful GenAI use include a deepfake video in Bangladesh falsely announcing a candidate's withdrawal, a manipulated video in Taiwan targeting a presidential candidate, and cloned audio of US President Joe Biden in Namibia to support local parties.

APA

International Panel on the Information Environment (2025). Generative KI in Wahlkampagnen: Kartierung globaler Muster. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%20Elections%20SFP.pdf

Chicago

International Panel on the Information Environment. Generative KI in Wahlkampagnen: Kartierung globaler Muster. 2025. https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%20Elections%20SFP.pdf.

Wikipedia

{{cite report |author=International Panel on the Information Environment |title=Generative KI in Wahlkampagnen: Kartierung globaler Muster |date=2025 |url=https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%20Elections%20SFP.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{internationalpanelontheinformationenvironment2025generative, author = {{International Panel on the Information Environment}}, title = {{Generative KI in Wahlkampagnen: Kartierung globaler Muster}}, institution = {International Panel on the Information Environment}, year = {2025}, url = {https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%20Elections%20SFP.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }