AI Bias and Deepfakes Disrupt Elections in Japan and U.S.
Artificial intelligence is distorting political processes through biased chatbot recommendations in Japan and a surge of high-cost AI-generated advertising in the United States.
Artificial intelligence is increasingly influencing global political processes through systemic bias and the proliferation of synthetic media. In Japan, a Stanford University study revealed that AI chatbots overwhelmingly recommended the Japanese Communist Party to left-leaning voters during the February 2026 general election. Researchers found this bias resulted from an information environment asymmetry, as the party's open-access website was more available to AI crawlers than copyright-protected news outlets.
In the United States, the Wesleyan Media Project identified at least 220 AI-enhanced political ads costing nearly $137 million during the current election cycle. The majority of these expenditures were funded by Republican candidates or PACs. While some campaigns use the technology for cost-effective creativity, others have deployed deepfakes to deceive voters.
These developments have led to calls for federal regulation and mandatory disclosure standards to prevent the erosion of democratic trust. South Carolina Lieutenant Governor Pamela Evette, who was targeted by deepfakes before using AI in her own campaign, noted the danger of voters being unable to distinguish reality from synthetic content.