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.
Agenda:
- 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.
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.
There are no refunds for no-shows or cancellations. All sales final. Private video or audio recording is prohibited without prior permission. By registering for this event, you grant permission for the event organizers to share your registration information with event sponsors and partners.
Event Terms & Conditions
This event is held under The Chatham House Rule. At a meeting held under the Chatham House Rule, anyone who comes to the meeting is free to use information from the discussion, but is not allowed to reveal who made any comment. It is designed to increase openness of discussion. Click here for more.
and Thank You to our venue host The George Washington University
