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Fair Representation Learning: An Alternative to Mutual Information
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Fair Representation Learning: An Alternative to Mutual Information (2022)Fair Representation Learning: An Alternat…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Big Data's Disparate Impact (2014)Fairness of Exposure in Rankings (2018)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Fairness in Machine Learning: A Survey (2023)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited

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