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New research identifies political preferences in popular artificial intelligence programs

This story is from 2026-10-24. It is preserved in the archive; the latest stories are on the live feed.

A study by Convovo and Cornell University professor Tapan Parikh examined political recommendations from AI models via developer APIs. Results showed stark divergences across nearly 500 simulated races: Grok 4.7 recommended the Republican candidate in 92% of answers, while GPT-6.1 Sol picked the De…

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  1. 2026-10-24 15:09 · DEV Community — AI
    New research identifies political preferences in popular artificial intelligence programs

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