Interview 27: Racial discrimination and fair machine learning

I invited Dr. Charles Earl for this episode of my podcast “Job Interview” to talk about racial discrimination at the workplace and fairness in machine learning.

Dr. Charles Earl is a data scientist in Automattic, my previous place of work. Charles holds a Ph.D. in computer science, M.A. in education, M.Sc in Electrical engineering, and B.Sc in mathematics. His career covered a position of assistant professor and a wide range of hands-on, managerial, and consulting roles in the field that we like to call today “data science.” 

But there is another aspect in Dr. Earl. His skin is brown. He was born to an African-American family in Atlanta, GA, in the 1960s when racial segregation was explicitly legal. I am sure that this fact affected Charles’ entire life, personal and professional.

Links

If you know Hebrew, follow my podcast Job Interview (Reayon Avoda), and This Week in the Middle East

Back to Mississippi: Black migration in the 21st century. By Charles Earl

I wonder how this analysis of remained unnoticed by the social media

The recent election of Doug Jones […] got me thinking: What if the Black populations of Southern cities were to experience a dramatic increase? How many other elections would be impacted?

via Back to Mississippi: Black migration in the 21st century — Charlescearl’s Weblog