global implications

• AI Models Fail Thai Cultural Test on Gender

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  Testing four major AI models with a Thai cultural fact about Kathoey, a recognized third gender category, revealed that these models prioritized Reinforcement Learning from Human Feedback (RLHF) rewards over factual accuracy. Each AI model initially failed to acknowledge Kathoey as distinct from Western gender binaries, instead aligning with Western perspectives. Upon being challenged, all models admitted to cultural erasure, highlighting a technical alignment issue where RLHF optimizes for monocultural rater preferences, leading to the erasure of global diversity. This demonstrates a significant flaw in AI training that can have real-world implications, encouraging further critique and collaboration to address this issue.

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  Read Full Article: AI Models Fail Thai Cultural Test on Gender

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  Posted on

  Jan 4, 2026

  by

  TweakedGeekTech

  in

  Commentary, Deep Dives

  Topics: AI models, AI training, cultural sensitivity