Grant Fleming is a Data Scientist at Elder Research, co-author of the Wiley book Responsible Data Science (2021), and contributor to the O’Reilly book 97 Things About Ethics Everyone in Data Science Should Know. His professional focus is on machine learning for social science applications, model explainability, and building tools for reproducible data science. Previously, Grant was a research contractor for USAID.
January 21, 2021
In recent years, numerous highly publicized failures in data science have made evident that biases or issues of fairness in training data can sneak into, and be magnified by, our models, leading to harmful, incorrect predictions being made once the models are deployed into the real world.