Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments

Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments

ACM FAccT Conference via YouTube Direct link

Methodology

15 of 25

15 of 25

Methodology

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 Introductions
  3. 3 Overview
  4. 4 Project Background
  5. 5 Project Team
  6. 6 Outputs
  7. 7 Context
  8. 8 Harms and Benefits Approach
  9. 9 Design Goals
  10. 10 Methodology Overview
  11. 11 Intended Uses of the Methodology
  12. 12 The Assessment
  13. 13 Assessment Questions
  14. 14 System Objectives Context
  15. 15 Methodology
  16. 16 Questions Answers
  17. 17 Credit Scoring Case Study
  18. 18 Credit Approval Systems
  19. 19 Confusion Matrices
  20. 20 Part B
  21. 21 Part C
  22. 22 Performance vs Fairness
  23. 23 Personal Attributes
  24. 24 System Monitoring Review
  25. 25 Questions

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.