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Assessing and mitigating unfairness in AI systems
Tutorial - Manojit Nandi: Assessing and mitigating unfairness in AI systems
Assessing and Mitigating Unfairness in AI Systems - Manojit Nandi | PyData Global 2021
Fairness-related harms in AI systems: Examples, assessment, and mitigation
The Importance of Model Fairness and Interpretability in AI Systems
Towards algorithms for measuring and mitigating unfairness in AI
How to Test Models for Fairness with Fairlearn Deep-Dive
Assessing and mitigating bias and discrimination in AI: Beyond binary classification
AI That Reads Your Mind
Fairness in AI Systems From Social Context to Practice using Fairlearn SciPy 2021
Tutorial: Best practices for prioritizing fairness in AI systems
Removing Unfair Bias in Machine Learning