Completed
AI Guidebook
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Responsible AI for Engineers
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Rons background
- 3 Overview
- 4 Imagenet
- 5 Google Search
- 6 Diabetic Retinopathy
- 7 Google Assistant
- 8 Google Cloud
- 9 Problems with AI
- 10 disproportionate performance
- 11 Compass
- 12 Microsoft Twitter
- 13 Filter Bubbles
- 14 Amazon Search Algorithm
- 15 Principles
- 16 Digital Wellbeing
- 17 Machine Learning AI
- 18 Data Cards
- 19 Model Cards
- 20 Model Interpretation
- 21 Local Interpretation
- 22 Shapley Values
- 23 Integrated gradients
- 24 Gradients
- 25 Examples
- 26 Visualization Tools
- 27 Multiple metrics
- 28 Secondary models
- 29 Over optimizing
- 30 Case study fairness
- 31 How does prediction change
- 32 How effective is this system
- 33 What if we generalize
- 34 Collecting more data
- 35 Changing the loss function
- 36 The net effect
- 37 Lessons
- 38 AI Guidebook
- 39 AI Ethics Guidelines
