Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13
Introduction
00:00 • 2min
Microsoft's Six Principles of Responsible AI
01:33 • 3min
Error Analysis: A Tool to Improve the Performance of Your AI
04:44 • 2min
How to Collect Sensitive Attributes for Machine Learning Models
06:14 • 2min
How to Improve Fairness of AI
07:45 • 2min
The Importance of Feedback Loops and Monitoring Loops
09:25 • 2min
The Role of Fairness in Machine Learning
11:06 • 3min
How to Solve Negative Results in Your Model
14:24 • 2min
Python Prediction Toolbox
15:58 • 2min
The Challenges of Generative AI
17:59 • 3min
How to Train a Model on Top of a Large Language Model
20:30 • 3min
The Importance of Red Teaming in JTBT
23:03 • 2min
How to Get Started With Responsible AI
24:34 • 2min