Post

Gt Dl L10

Readings

None!

Responsible AI

Refer to the pdf for more information.

  1. Bias
  2. Fairness and equity
  3. Calibration
  4. Provenance
  5. Validationand misinformation
  6. Robustnessand resilience
  7. Safety
  8. Security
  9. Privacy
  10. Transparency
  11. Interpretability
  12. Explainability
  13. Empowerment
  14. Redress
  15. Accountability and governance

Bias and Fairness Overview

FAT*

  • Fairness
  • Accountability
  • Transparency
  • and more!

Calibration and the Fairness impossibility Theorems

Definition of calibration, measuring it and the limitations of it.

The Fairness Impossibility Theorems - It is impossible for a classifier to achieve both equal calibration and error rates between groups, (if there is a difference in prevalence between the groups and the classifier is not perfect)

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