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REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
16 references·13 citing·29 second hop
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2012Fairness through awareness3,501 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2021Algorithmic injustice: a relational ethics approach705 cited
  • 2020Data and its (dis)contents: A survey of dataset development and use in machine learning research519 cited
  • 2017Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States517 cited
  • 2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited
  • 2017On Fairness and Calibration509 cited
  • 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
  • 2021Measurement and Fairness

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362 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited
  • Cited by

    • 2024Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition67 cited
    • 2024On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare45 cited
    • 2023FACET: Fairness in Computer Vision Evaluation Benchmark37 cited
    • 2023DeAR: Debiasing Vision-Language Models with Additive Residuals34 cited
    • 2025Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment34 cited
    • 2023Taxonomizing and Measuring Representational Harms: A Look at Image Tagging32 cited
    • 2023T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation26 cited
    • 2025Domain adaptation for bias mitigation in affective computing: use cases for facial emotion recognition and sentiment analysis systems24 cited
    • 2023Why We Need to Know More: Exploring the State of AI Incident Documentation Practices24 cited
    • 2023Overwriting Pretrained Bias with Finetuning Data24 cited
    • 2023Assessing and Mitigating Bias in Artificial Intelligence: A Review18 cited
    • 2024Exploring Aesthetic Qualities of Deep Generative Models through Technological (Art) Mediation6 cited
    • 2025Correcting the Measurement Errors of AI-Assisted Labeling in Image Analysis Using Design-Based Supervised Learning4 cited