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