A curated list of resources for research in the area of Responsible AI (machine learning fairness, transparency, and accountability etc.)
- Trustworthy AI
- A Survey on Bias and Fairness in Machine Learning
- Bias and Debias in Recommender System: A Survey and Future Directions
- Recommendation Fairness: From Static to Dynamic
- RecSys-21 Tutorial: Bias Issues and Solutions in Recommender System
- SIGIR-21 Tutorial: Fairness of Machine Learning in Recommender Systems
- KDD-20 Tutorial: Dealing with Bias and Fairness in Data Science Systems
- RecSys-20 Tutorial: Counteracting Bias and Increasing Fairness in Search and Recommender Systems
- RecSys-19 Tutorial: Fairness and Discrimination in Recommendation and Retrieval
- FAccT-21 Tutorial: Causal Fairness Analysis (Video)
- ByteDance AI Lab - MLF
- DeepMind Ethics & Society
- Google AI - Responsible AI
- Google Cloud - Responsible AI
- Microsoft - Responsible AI Resources
- Facebook AI - Responsible AI