A recent study revealed that when prompted to recommend a political candidate, AI models exhibit distinct biases. SpaceXAI's Grok 4.7 leaned heavily towards Republican candidates, recommending them in 92% of cases, while OpenAI's GPT-6.1 Sol favored Democratic candidates, doing so in 97% of instances. These models disagreed on recommendations for nearly 500 races, with less than a 10% overlap in their choices. The study, conducted by Convovo and led by Cornell University professor Tapan Parikh, highlighted that while consumer-facing chatbots like ChatGPT and Grok often refuse to make direct recommendations, their underlying APIs can be prompted to do so, revealing underlying biases in their training data and search behaviors. AI
IMPACT Reveals potential for AI models to exhibit political bias, influencing user perceptions and election information consumption.
RANK_REASON Study analyzing AI model behavior on political questions, not a direct release or policy action.
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- Center for AI Safety
- .chatgpt
- Convovo
- Cornell University
- GPT-6.1 Sol
- Grok 4.7
- .openai
- Pew Research Center
- SpaceXAI
- Tapan Parikh
- Democratic Party
- Republican Party
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