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Fair classification by loss balancing via fairness-aware batch sampling
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Fair classification by loss balancing via fairness-aware batch sampling (2022)Fair classification by loss balancing via…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (2019)Uncovering and Mitigating Alg…REPAIR: Removing Representation Bias by Dataset Resampling (2019)REPAIR: Removing Representati…Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (2019)Proceedings of the 2019 AAAI/…Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Balanced Datasets Are Not Eno…AdaFair (2019)AdaFairWomen Also Snowboard: Overcoming Bias in Captioning Models (2018)Women Also Snowboard: Overcom…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Fairness definitions explained (2018)Fairness definitions explainedA multidisciplinary survey on discrimination analysis (2013)A multidisciplinary survey on…The American Psychological Association (1919)Male-Female Wage Differentials in Urban Labor Markets (1973)Stereotype threat and the intellectual test performance of African Americans. (1995)Measuring discrimination in algorithmic decision making (2017)The relationship between trust in AI and trustworthy machine learning technologies (2020)A survey on datasets for fairness‐aware machine learning (2022)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)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Investigating Bias and Fairness in Facial Expression Recognition (2020)Understanding and Mitigating Annotation Bias in Facial Expression Recognition (2021)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Big Data's Disparate Impact (2014)Towards fairer datasets (2020)Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)Data preprocessing techniques for classification without discrimination (2011)FAE: A Fairness-Aware Ensemble Framework (2019)FairBatch: Batch Selection for Model Fairness (2020)Survey on fairness notions and related tensions (2023)Certifying and Removing Disparate Impact (2015)Climate Change, Environmental Disasters, and Health Inequities: The Underlying Role of Structural Inequalities (2022)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques (2024)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Demographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Fairness in Deep Learning: A Computational Perspective (2020)Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness (2022)Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review (2024)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2018Fairness definitions explained1,125 cited
  • 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2013A multidisciplinary survey on discrimination analysis288 cited
  • 2019REPAIR: Removing Representation Bias by Dataset Resampling228 cited
  • 2019Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure205 cited
  • 2019AdaFair75 cited
  • 2019Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society29 cited

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