Quarter
Course Type
Enrollment Code
68353
Units
2
Course Website
Course Description
CS595D is a graduate computer science seminar that will explore topics
in AI safety and bias in machine learning. These are both fundamental
problems in AI research that have far more questions than answers.
Machine learning is currently deployed all over the world, classifying
data that impacts real people every single day. This year the EU passed
"right to explanation", a law that will take effect in 2018, and will
affect all companies that operate in Europe (yes Google, Facebook, etc).
Topics will include distributional shift, scalable supervision, interpretable
machine learning and more.
This seminar will be run by Daniel Spokoyny.