Non-Numerical Artificial Intelligence Implementation Learnings: Controlling Sampling Bias

10/04/2017
1:30 pm - 1:50 pm
OCCC W304C

Objective: Guidance
Audience Level: Beginner/Intermediate
Session Type: Presentation

As we look towards infusing machine learning into all parts of our lives, careful consideration must be given to the increasingly common problem of biased Artificial Intelligence. How can we ensure accuracy and mitigate subjectivity? Traditional methods to address bias have failed in our modern AI world. This talk will offer a new approach which uses the algorithms themselves to combat selection bias.

Speaker(s)

Morgana Carter, Data Scientist, Intel Corporation