According to BlockBeats, on May 4, AI community user X Freeze questioned whether mainstream AI models including ChatGPT, Claude, and Gemini show systematic bias by being less aligned with conservative positions on issues such as gender, immigration, and crime. The user suggested that as AI capabilities advance, their value alignment process may be influenced by training data and design mechanisms, leading to consistent tendencies on certain public issues. The observation sparked community discussion around training data bias and model design orientation. Major AI developers maintain their models aim to improve information accuracy and safety through diverse data and evaluation mechanisms to reduce bias.
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