radames / Machine-Learning-Ethics-References
List of references about Machine Learning bias and ethics
☆61Updated last year
Alternatives and similar repositories for Machine-Learning-Ethics-References:
Users that are interested in Machine-Learning-Ethics-References are comparing it to the libraries listed below
- Awesome list of AI Fairness tools, research papers, tutorials and any other relevant materials. For use by data scientists, AI engineers …☆16Updated 6 years ago
- Reading history for Fair ML Reading Group in Melbourne☆36Updated 3 years ago
- ☆58Updated 3 years ago
- Themis™ is a software fairness tester.☆103Updated 4 years ago
- Research code for auditing and exploring black box machine-learning models.☆132Updated last year
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- A collection of resources and tools designed to provide guidelines for ethical modeling.☆72Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- A visual analytic system for fair data-driven decision making☆25Updated 2 years ago
- The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to hel…☆51Updated 2 years ago
- Proposal Documents for Fairlearn☆9Updated 4 years ago
- A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoi…☆64Updated 4 years ago
- Fair Statistical Learning Algorithms for Ethical Artificial Intelligence☆26Updated 2 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- A workshop on data privacy methods for data scientists.☆70Updated 2 years ago
- Privacy-Preserving Bandits (MLSys'20)☆22Updated 2 years ago
- A library that implements fairness-aware machine learning algorithms☆124Updated 4 years ago
- Hosting the scikit-learn blog.☆17Updated last month
- Accompanying source code for "Runaway Feedback Loops in Predictive Policing"☆16Updated 7 years ago
- ☆38Updated last year
- A curated list of awesome resources for COVID-19☆37Updated 4 years ago
- Data analysis for Decode Surveillance NYC, Ban the Scan☆15Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- A hands-on tutorial showing how to use Python to do anonymisation with synthetic data☆79Updated 2 years ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 3 years ago
- ☆363Updated 3 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 2 years ago
- Experiments to help discussion on Wikipedia talk pages☆66Updated 4 months ago
- Python implementation of R package breakDown☆42Updated last year