Category: fairness

Mar 16 2026 · Aleksandra Płońska
AI Ethics and Responsible Data Science: Building Fair and Private Machine Learning Systems
Learn the principles of AI ethics and responsible data science, including fairness, bias detection, transparency, and privacy. Discover how tools like MLJAR Studio and MLJAR AutoML help build secure and trustworthy machine learning systems.
Jun 26 2023 · Aleksandra Płońska, Piotr Płoński
Fairness in Automated Machine Learning
The mljar-supervised Python package (version 1.0.0) now supports fairness-aware training, enabling the measurement and mitigation of bias in sensitive features for binary classification, multiclass classification, and regression.
- automl
- fairness