Some Pitfalls in AI

Some Pitfalls in AI

Devoxx via YouTube Direct link

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8 of 39

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Some Pitfalls in AI

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  1. 1 Intro
  2. 2 What do you do
  3. 3 Whats the interest
  4. 4 Whats the fear
  5. 5 What can go wrong
  6. 6 Build your own AI
  7. 7 Bias
  8. 8 No production
  9. 9 Confounding factors
  10. 10 Semantic gap
  11. 11 Bias fairness
  12. 12 Machine learning systems
  13. 13 Unexpected behavior
  14. 14 Data poisoning
  15. 15 adversarial examples
  16. 16 robust attacks
  17. 17 stickers on objects
  18. 18 curse of dimensionality
  19. 19 other examples
  20. 20 good AI systems
  21. 21 phishing attempts
  22. 22 social media
  23. 23 Phishing
  24. 24 LinkedIn
  25. 25 Fake news
  26. 26 Fake images
  27. 27 Fake text
  28. 28 Recommendation systems
  29. 29 YouTube
  30. 30 Conspiration theories
  31. 31 YouTube recommendation system
  32. 32 Fake hoaxes
  33. 33 Explainable AI
  34. 34 Scams
  35. 35 Awareness
  36. 36 GDPR
  37. 37 Policymakers
  38. 38 The EU
  39. 39 Smallboots

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