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Five years ago, staff at the Bureau of Labor Statistics had to read and manually code hundreds of thousands of written descriptions of work-related injuries and illnesses each year. Today, more than two thirds of these codes are now assigned by a deep neural network, which evaluations suggest is substantially more accurate on average than trained human workers.
In this webinar, Alex Measure will discuss how BLS addressed some of the many challenges inherent in this transition. Attendees will learn:
- how BLS built these new computer systems
- how they decided when and how to use them
- how to evaluate their performance
- how BLS monitors and maintain them to continually improve performance.
Alex Measure, Economist, Bureau of Labor Statistics
APDU, C2ER, and LMI Institute Members: Free