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Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
16 references·3 citing·45 second hop
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References

  • 1971Measuring nominal scale agreement among many raters.8,717 cited
  • 2005Understanding interobserver agreement: the kappa statistic.7,009 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2022Taxonomy of Risks posed by Language Models750 cited
  • 2000The Gender Stereotyping of Emotions551 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2023Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale340 cited
  • 2020Towards a critical race methodology in algorithmic fairness295 cited
  • 2021Large image datasets: A pyrrhic win for computer vision?258 cited
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  • 2021Multimodal datasets: misogyny, pornography, and malignant stereotypes157 cited
  • 2021Understanding and Evaluating Racial Biases in Image Captioning83 cited
  • 2020REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets72 cited
  • 2016Stereotyping and Bias in the Flickr30K Dataset

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58 cited
  • 2021Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search50 cited
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    • 2024Playgrounds and Prejudices: Exploring Biases in Generative AI For Children.21 cited
    • 2024Situating the social issues of image generation models in the model life cycle: a sociotechnical approach15 cited
    • 2024SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples15 cited