The problem of misinformation and disinformation has always been a threat to elections, leading to distrust in the voting process and putting election workers at risk. However, this year's elections face even greater challenges as AI-generated content enters the scene, introducing a new level of complexity. AI's impact on elections was already witnessed when a manipulated audio message of President Joe Biden discouraged New Hampshire residents from voting in the state's presidential primary. The ability of AI tools to target voters raises concerns among experts about the unprecedented challenges faced by election officials. Generative AI has made it easier to create convincing fake videos, audio, and images, making it difficult to detect false information. In recent elections, AI-generated deepfakes were circulated on social media, spreading disinformation and sowing distrust in the electoral process. With AI technology becoming more accessible, it is expected to play a significant role in both foreign and domestic interference in elections. AI-manipulated videos and audio pose a unique challenge as they can be hard to differentiate from real content, making it easier to disseminate disinformation. Studies have shown that exposure to AI-generated disinformation can influence voters' political preferences.

Political campaigns have also started experimenting with AI technology, creating AI-generated videos and messages that can impact voter behavior. The use of AI-generated content presents endless implications for elections, allowing political actors to discredit opponents and fabricate scandals. This can lead to voters making misinformed decisions or even deciding not to vote at all. Detecting deepfakes and implementing better regulations to protect elections from AI-generated misinformation are crucial. Some states have already taken steps to address this issue, such as Minnesota, which prohibits the use of AI-generated content to harm candidates or influence elections. However, there are still limited efforts in tracking and quantifying the impact of AI-generated misinformation. Strengthening media literacy practices and sharing accurate information from authoritative sources are necessary steps to combat this issue. Additionally, regulatory bodies must make people aware that they can report misinformation and take action against those responsible.