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• Dealing with Bias and Fairness in Building Data Science/ML/AI Systems
• Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
• A Visual Tour of Bias Mitigation Techniques for Word Representations
• Fairness in Machine Learning
• The Trouble with Bias
• Socially Responsible NLP
• Tutorial: Bias and Fairness in Natural Language Processing
• How to test the fairness of ML models? The 80% rule to measure the disparate impact
• Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
• Mitigating Gender Bias Amplification in Distribution by Posterior Regularization
• Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019 - jussa, Marta R. and Hardmeier, Christian and Radford, Will, 2019
• Proceedings of the First Workshop on Gender Bias in Natural Language Processing - juss{\`a}, Marta R. and Hardmeier, Christian and Radford, Will and Webster, Kellie, 2019
• Proceedings of the Second Workshop on Gender Bias in Natural Language Proceedings - juss{\`a}, Marta R. and Hardmeier, Christian and Radford, Will and Webster, Kellie, 2020
• Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features
• Fairness and machine learning
• Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features