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AI Biases Towards Rich and Powerful Surnames

Authors

  • Pat Pataranutaporn (MIT)
  • Nattavudh Powdthavee (NTU Singapore, IZA Bonn)
  • Pattie Maes (MIT)

Abstract

We investigate surname-based biases in AI decision-making across hiring, leadership, and loan contexts. Analyzing 600 surnames from the US and Thailand, we find elite surnames consistently predict AI-generated perceptions of power, intelligence, and wealth. While objective qualifications reduce these biases, they persist especially with low credentials.

Requirements

pip install -r requirements.txt

Data Structure

  • name/*.txt: Surname categorization files
  • dataset/Thai/*.csv: Thai surname analysis results
  • dataset/US/*.csv: US surname analysis results
  • dataset/*.dta: Merged analysis datasets

Pipeline

  1. 00_code_init_*.ipynb: Data preprocessing
  2. 01_code_OpenAI_*.ipynb: OpenAI API interactions
  3. Statistical analysis of results

License

MIT License

Contact

patpat@mit.edu and nick.powdthavee@ntu.edu.sg