Видео ютуба по тегу Equalized Odds

Which Post-Processing Methods Address Algorithmic Bias?
Which Post-Processing Methods Address Algorithmic Bias?
3 Tool 2: Fairness Definition Selection
3 Tool 2: Fairness Definition Selection
AI Fairness: Why
AI Fairness: Why "Accuracy" Is Not Enough (Equality of Odds)
Which Fairness Metrics Mitigate Algorithmic Bias?
Which Fairness Metrics Mitigate Algorithmic Bias?
What Fairness Metrics Reduce Bias In AI? - AI and Technology Law
What Fairness Metrics Reduce Bias In AI? - AI and Technology Law
What Mathematical Definitions Exist For AI Fairness? - AI and Machine Learning Explained
What Mathematical Definitions Exist For AI Fairness? - AI and Machine Learning Explained
Episode 14 — Fairness Definitions
Episode 14 — Fairness Definitions
AI Bias and Fairness
AI Bias and Fairness
John Sandall - How To Measure And Mitigate Unfair Bias in Machine Learning Models | PyData London 25
John Sandall - How To Measure And Mitigate Unfair Bias in Machine Learning Models | PyData London 25
John Sandall - Fairness Tales: How To Measure And Mitigate Unfair Bias in Machine Learning Models
John Sandall - Fairness Tales: How To Measure And Mitigate Unfair Bias in Machine Learning Models
10. Machine Learning Fairness and Biases
10. Machine Learning Fairness and Biases
Algorithm Bias and Fairness
Algorithm Bias and Fairness
Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning
Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning
Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact
Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact
Maximal Fairness
Maximal Fairness
Fair, Explainable, and Lawful Machine Learning for High-Stakes Applications
Fair, Explainable, and Lawful Machine Learning for High-Stakes Applications
Unfairness Across the Machine Learning Pipeline
Unfairness Across the Machine Learning Pipeline
Synapse 2022 | Achieving Algorithmic Fairness through Adversarial Training
Synapse 2022 | Achieving Algorithmic Fairness through Adversarial Training
Representative Individuals and Fair Machine Learning by Dr. Clinton Castro
Representative Individuals and Fair Machine Learning by Dr. Clinton Castro
Robustness of Fairness in Machine Learning
Robustness of Fairness in Machine Learning
Is calibration a fairness requirement? An argument from the point of view of moral philosophy...
Is calibration a fairness requirement? An argument from the point of view of moral philosophy...
BIAS@ECMLPKDD21: Robustness of Fairness: An Experimental Analysis
BIAS@ECMLPKDD21: Robustness of Fairness: An Experimental Analysis
Definition 3 (Fairness)
Definition 3 (Fairness)
An Introduction to Fairness in Machine Learning using Fairlearn
An Introduction to Fairness in Machine Learning using Fairlearn
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates be Reconciled? (5min)
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates be Reconciled? (5min)