
Azeem’s Picks: How to Practice Responsible AI with Dr. Rumman Chowdhury
Azeem Azhar's Exponential View
Problems in Responsible AI and Machine Learning Ethics
The chapter discusses the different types of problems in responsible AI and machine learning ethics, including bias introduced by proxy variables and the concept of indirect risk. It also explores the Apple Card case as an example of algorithmic bias and the difficulties in securing redress when wrongly scored.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.