Special Speaker: Alexander Measure, Economist at Bureau of Labor Statistics
“Automatically classifying injury and illness descriptions with machine learning – 5 years in”
Five years ago BLS staff read and manually classified hundreds of thousands of written descriptions of work related injuries and illnesses each year. Today, more than two-thirds of these classifications are now assigned by a deep neural network, which evaluations suggest, is substantially more accurate on average than trained human workers. In this presentation Alex will discuss how BLS addressed some of the many challenges inherent in this transition including how building these new computer systems, evaluating their performance, how to decide when and how to use them, and how to monitor and maintain them to continually improve performance.
This event is FREE for all government employees and students.