Bias in Machine Learning and AI Algorithms
The challenge of IT, code and algorithms is a small error can upend your entire effort. Ziad Obermeyer, associate professor at the Berkeley School of Public Health, understands this and recently unconvered how the questions asked can create serious racial and socioeconomic reprecussuons. By changing the wording of a simple question, Obermeyer and his team were unable to create a more equitable and fair algorithm that answered the question asked.
What are the questions you need to ask yourself?
What is the "right" question?
How to parse your results - how to uncover bias.