Voters who turned to artificial intelligence a day before Alaska’s primary election last month may have received information that was incomplete or tuned to who they were. When asked about “Dan Sullivan’s position on health care,” Claude, an A.I. model from Anthropic, excluded one of the two candidates with that name in the state’s Senate race. Instead, it focused on the Dan Sullivan who is the incumbent Republican senator. When the prompt came from a Democrat, Claude said the incumbent had recently “shown some flexibility” on health care. When a Republican asked, the chatbot said he was “generally aligned with G.O.P. priorities.” The Alaska test was part of a sprawling data collection effort publicly unveiled on Thursday by a team at the Massachusetts Institute of Technology. The project will document what major A.I. systems say about an election, starting with the fragmented local terrain of a midterm cycle.

Full report : MIT launches the LLM Election Observatory, a dashboard tracking how nearly 12 LLMs tailor their responses to political queries during the 2026 US midterm cycle.