Automatically classifying injury and illness descriptions with machine learning – 5 years in”

Session Date & Time:
Sun. June 30, 2019 @ 18:00 ET
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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.

About AI in Government:

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Agenda:

6-6:30pm: Networking

6:30-7:30pm: Presentation

7:30-8pm: Wrap-up and networking

To learn more about AI in Government and see a list of upcoming events check out our website: https://www.aiingovernment.com. This event is free for all for all active military, federal employees, think tank, and media. Others can register for events for a nominal fee. If you’re interested in helping financially support this event please email us at info@aiingovernment.com.

Supported by:

and Thank You to our venue host The George Washington University

Event Terms & Conditions

There are no refunds for no-shows or cancellations. All sales final. Private video or audio recording is prohibited without prior permission.

Alex Measure

Economist at the Bureau of Labor Statistics Alex Measure is an economist at the Bureau of Labor Statistics and co-leader of the BLS DataScience User’s

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