Artificial Intelligence in Election Campaigns: Perceptions, Penalties, and Implications
This addresses the problem of AI-driven deception in elections for policymakers and the public, highlighting a misalignment between public disapproval and political incentives, though it is incremental in analyzing perceptions rather than proposing new solutions.
The study investigated public reactions to AI use in election campaigns, finding that while people generally dislike AI in campaigns and are especially critical of deceptive uses, parties using deceptive AI face no significant drop in favorability, but it increases public support for stricter AI regulation.
As political parties around the world experiment with Artificial Intelligence (AI) in election campaigns, concerns about deception and manipulation are rising. This article examines how the public reacts to different uses of AI in elections and the potential consequences for party evaluations and regulatory preferences. Across three preregistered studies with over 7,600 American respondents, we identify three categories of AI use -- campaign operations, voter outreach, and deception. While people generally dislike AI in campaigns, they are especially critical of deceptive uses, which they perceive as norm violations. However, parties engaging in AI-enabled deception face no significant drop in favorability, neither with supporters nor opponents. Instead, deceptive AI use increases public support for stricter AI regulation, including calls for an outright ban on AI development. These findings reveal a misalignment between public disapproval of deceptive AI and the political incentives of parties, underscoring the need for targeted regulatory oversight. Rather than banning AI in elections altogether, regulation should distinguish between harmful and beneficial applications to avoid stifling democratic innovation.