Social Implications of Bias in Machine Learning

Social Implications of Bias in Machine Learning

Devoxx via YouTube Direct link

People Plus AI Research

21 of 48

21 of 48

People Plus AI Research

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Social Implications of Bias in Machine Learning

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  1. 1 Introduction
  2. 2 Social Bias
  3. 3 Prejudice
  4. 4 Statistical Bias
  5. 5 The Human Condition
  6. 6 What is Machine Learning
  7. 7 Overview
  8. 8 Garbage in Garbage out
  9. 9 Open Data Institute Canvas
  10. 10 Summary
  11. 11 Orchestras
  12. 12 Protected Attributes
  13. 13 Reducing Data
  14. 14 Adding Missing Data
  15. 15 Raising Machines
  16. 16 Google Translate
  17. 17 algorithmic justice league
  18. 18 the stem
  19. 19 diversity
  20. 20 The Forgotten
  21. 21 People Plus AI Research
  22. 22 Google
  23. 23 The Black Box
  24. 24 The Right to an Explanation
  25. 25 Open the Black Box
  26. 26 Simplifying Algorithms
  27. 27 Fixed Bugs
  28. 28 Lime
  29. 29 Tree Frog
  30. 30 What If
  31. 31 Feedback loops
  32. 32 Facebook
  33. 33 Compass
  34. 34 Silver Lining
  35. 35 Governance Usage
  36. 36 Amazon
  37. 37 Whos responsible
  38. 38 Pharmaceutical example
  39. 39 OpenAI example
  40. 40 We can quickly patch
  41. 41 We can demand better products
  42. 42 We can create updates very quickly
  43. 43 We realized that data is biased
  44. 44 We have the power
  45. 45 We want to go
  46. 46 Lets learn
  47. 47 We have an immense power
  48. 48 Change and shape society

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