awesome-fairness-in-ai
github.com/datamllab/awesome-fairness-in-ai ↗A curated list of awesome Fairness in AI resources
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Review and General PapersMeasurements of FairnessDemonstration of Bias Phemomenon in Various ApplicationsMitigation of UnfairnessFairness Packages and FrameworksConferencesOther Fairness Relevant Interpretability Resources
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Measurements of Fairness
Mitigation of Unfairness
- Achieving Fairness through Adversarial Learning: an Application to Recidivism PredictionMitigation of Machine Learning Models
- Adversarial Removal of Demographic Attributes from Text DataMitigation of Machine Learning Models
- A General Framework for Fair RegressionMitigation of Machine Learning Models
- Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image RepresentationsMitigation of Machine Learning Models
- Compositional Fairness Constraints for Graph EmbeddingsMitigation of Machine Learning Models
- Data Decisions and Theoretical Implications when Adversarially Learning Fair RepresentationsMitigation of Machine Learning Models
Fairness Packages and Frameworks
- aequitas: Bias and Fairness Audit Toolkit
- AI Fairness 360
- algofairness
- CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models
- fairlearn: Fairness in machine learning mitigation algorithms
- fairness: Benchmarking of fairness aware machine learning algorithms
Conferences
Demonstration of Bias Phemomenon in Various Applications
- Assessing Social and Intersectional Biases in Contextualized Word RepresentationsBias in Representations
- ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering BiasesBias in Machine Learning Models
- Deep Learning for Face Recognition: Pride or Prejudiced?Bias in Machine Learning Models
- Demographic Dialectal Variation in Social Media: A Case Study of African-American EnglishBias in Machine Learning Models
- Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsBias in Machine Learning Models
- Feature-Wise Bias AmplificationBias in Machine Learning Models
Review and General Papers
Other Fairness Relevant Interpretability Resources
Showing a sample of 76 resources. View the full list on GitHub →