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Automated Translation is Hopelessly Sexist, but Don’t Blame the Algorithm or the Training Data
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Author: Nicolas Kayser-Bril; Publisher: Algorithm Watch; Publication Year: N/A. The following article discusses how automated translation services tend to erase women or reduce them to stereotypes. Simply tweaking the training data or the models is not enough to make translations fair. An interesting discussion of the language translation datasets and their quirks that lead to…
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Gender and Representation Bias in GPT-3 Generated Stories
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Author: Li Lucy, David Bamman; Publisher: Proceedings of the 3rd Workshop on Narrative Understanding; Publication Year: 2021. The following article talks about how GPT-3 is a commercially available natural language generator that has been shown to be useful in machine-in-the-loop creative writing. The stories it creates from simple prompts reinforce gender biases, such as men…
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Fighting the Gender Stereotypes That Warp Biomedical Research
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Author: JoAnna Klein; Publisher: The New York Times; Publication Year: 2019. The following article discusses how the stereotypes and bias in medical research (and more generally) resulted in mainly male animals being used in biomedical research. “She emphasized that sex is biological and gender is a social construct, and that using gender stereotypes to study…
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