Implementing Ethics - Developing Trustworthy AI

Implementing Ethics - Developing Trustworthy AI

PyCon US via YouTube Direct link

Intro

1 of 24

1 of 24

Intro

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Classroom Contents

Implementing Ethics - Developing Trustworthy AI

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  1. 1 Intro
  2. 2 Early, purposeful work
  3. 3 Start with a diverse team
  4. 4 Curiosity Experts
  5. 5 High value in diverse teams
  6. 6 Inclusive Workplace Requirements
  7. 7 Adopt Technology Ethics
  8. 8 Coalesce on Shared Set of Technology El
  9. 9 Conversations for Understanding
  10. 10 Prompt conversations with a checklist
  11. 11 UX Framework for Designing Trustworthy
  12. 12 RightStaff Scenario
  13. 13 Accountable to Humans
  14. 14 Ensure humans can unplug the machine
  15. 15 Significant decisions
  16. 16 Responsibilities explicitly defined
  17. 17 Cognizant of Speculative Risks and Benell
  18. 18 Speculative: Conduct UX research and activate curiosity
  19. 19 Potential Abusability of RightStaff
  20. 20 Speculative: Create communication & mitigation plans
  21. 21 Respectful and Secure
  22. 22 Fair: Remove unwanted bias in data
  23. 23 UX Framework: Being intentional, keeping people safe
  24. 24 Reward team members for finding ethics bugs

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