Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

ACM SIGCHI via YouTube Direct link

Canonical Problems

5 of 22

5 of 22

Canonical Problems

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Classroom Contents

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

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  1. 1 Introduction
  2. 2 Automating Decisions
  3. 3 Anticipation vs Detection
  4. 4 General Literature
  5. 5 Canonical Problems
  6. 6 Machine Learning Pipeline
  7. 7 Irregular Data
  8. 8 Motivations
  9. 9 Broken Focus
  10. 10 Themes
  11. 11 Political Challenges
  12. 12 Other Issues
  13. 13 Feedback loops
  14. 14 Secondary uses of data
  15. 15 External interactions
  16. 16 Augmentation of outputs
  17. 17 Organisational routines
  18. 18 Application Dependent
  19. 19 Output Dependent
  20. 20 Around Moving Practices
  21. 21 Challenges
  22. 22 Conclusions

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