~/talk

Are We Conditioning Our Children to Accept Biases?

Talkat PyOhio 2020 · 2020-07-25..07-26· [machine-learning]
slides:none on file

Claims that school textbooks overrepresent women as mothers/housewives and embed victim-blaming language, supported by a simple prototype that performs pronoun counting and basic dependency parsing to identify agents. The tool flags skewed male:female mention ratios in textbook excerpts and detects passive or agent-omitted vignettes that frame victims rather than perpetrators, illustrated with a 2019 survey and a 2016 classroom exam vignette. The prototype works on samples but needs wider evaluation and standardized metrics.

AI-written summary · about

  1. 0:00Biases in children's education
  2. 1:13Gender in textbooks
  3. 2:20Representation bias defined
  4. 3:44Gender bias in examples
  5. 5:29Domestic violence case study
  6. 7:21Quantifying bias linguistically
  7. 9:38Conclusion
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