AI newsThe story, in brief
Working toward fairer machine learning
Everyone is focused on AI performance. Nobody is talking about fairness algorithms that could prevent the next bias scandal.
The KeyNews take
Why it matters
As AI systems face increasing scrutiny for bias and discrimination, research into fairness-aware machine learning algorithms becomes critical for enterprise risk management and regulatory compliance.
The key facts
3 to knowEmpirical risk minimization theory applied to fairness
Amazon Science research award program
March 2021 publication date
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: Exploring and analyzing possible techniques to make ML algorithms capable of learning fairer models by utilizing empirical risk minimization theory.
