AI is disrupting the art of campaigning
Candidates are using the technology to crunch data—and carry out dirty tricks
The use of artificial intelligence (AI) in political campaigning has become a growing trend, with at least 220 AI-generated ads aired in this election cycle alone, according to the Wesleyan Media Project. These ads, costing more than $137 million, employ various methods to target voters, such as depicting candidates in absurd scenarios or spreading misinformation.
However, AI's impact extends beyond advertising, as candidates increasingly leverage the technology to improve their ground-level efforts, analyze voter data, and create personalized messages. A recent survey found that 83% of campaign strategists and consultants regularly utilize AI in their work. Some candidates, like Michigan's Abdul El-Sayed, have even hired AI companies to engage in personalized text conversations with voters.
Meanwhile, groups like Swing Left are using AI to enhance traditional door-knocking by analyzing hundreds of voice memos to tailor messages. Smaller campaigns, like the one in California, have found ways to economize by coding AI replacements for paid software, allowing them to focus on outreach and voter engagement. As AI shapes how voters learn about candidates, some campaigns are optimizing chatbot responses through "sloptimization," tailoring information to be scraped by AI agents.
However, the accuracy and authenticity of AI-generated content have raised concerns, with a study revealing that over a quarter of basic questions about the midterms yielded incorrect or outdated answers from leading chatbots. This has led to fears of misinformation during the election, while cybersecurity firms uncover AI-generated websites disguising themselves as local newspapers, potentially spreading false narratives about candidates.
In the face of these developments, it remains to be seen how voters will react to AI's influence on political campaigns and information dissemination.
Written by urgent.news from Hindustan Times - World News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.