Recent Work

Combating Bias in AI

A major risk in building data-driven applications is susceptibility to biases in data. This project seeks to develop scalable solutions to help those using federal data to identify sources of biased training data.

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An isometric 3 by 5 grid is formed by square blocks. 4 blocks in the bottom-right are joined by a line and are in a different color demonstrating a focus, or bias, to the bottom-right of the grid.
About xD

xD is an emerging technologies group at the U.S. Census Bureau that partners with federal agencies and universities to improve the delivery of government services using artificial intelligence.

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Machine Learning for Customer Insight

Better customer experience by utilizing machine learning.

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Surfacing Public Voices

Using alternative methods to solicit feedback about government-provided services.

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