
KEEPING REAL WORLD BIAS OUT OF ARTIFICIAL INTELLIGENCE “EXAMINATION OF CODER BIAS IN DATA SCIENCE RECRUITMENT SOLUTIONS”
Author(s) -
Yvette Burton
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.20472/iac.2019.046.006
Subject(s) - gender diversity , audit , diversity (politics) , gender bias , computer science , word (group theory) , data science , knowledge management , public relations , psychology , political science , management , business , accounting , linguistics , social psychology , corporate governance , philosophy , law , economics