Automatically classifying injury and illness descriptions with machine learning – 5 years in
Featured Speaker: Alexander Measure, Economist at Bureau of Labor Statistics
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.
- 6-6:30pm: Networking
- 6:30-7:30pm: Presentation
- 7:30-8pm: Wrap-up and networking
About AI in Government
AI in Government is where those working in and with the government get together to network, discuss, and interact on topics relating to AI, machine learning, and cognitive technologies. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals.
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and Thank You to our venue host The George Washington University