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Computing & Society

Our researchers are active on multiple fronts that involve education, transportation, accessibility, equality, ethical AI, and much more. We’re developing powerful machine learning tools to advance K–12 classroom outcomes. We’re focused on building new technology to assist those that are sight impaired or have mobility issues. We use powerful data science tools to improve transportation systems. And we’re at the forefront of research and scholarship involving trustworthy and ethical AI. Much of this activity takes places in the multiple centers and several large interdisciplinary labs that UMIACS supports.

Hal Daumé III is a professor of computer science and director of the Institute for Trustworthy AI in Law & Society (TRAILS), which is focused on transforming the field of AI from “tech first” to “people first,” so that AI systems are developed and governed in a way that promotes human rights and serves the interests of the people who use them. TRAILS receives technical and administrative support from UMIACS.

Featured News

Philip Resnik sits at desk with laptop

What Keeps People Going in Dark Times? New Research Finds Unexpected Answers

Philip Resnik tells CBS News how machine learning helped researchers analyze thousands of Reddit posts about reasons for living.

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Four images show a small 3D-printed circuit board dissolving in water.

UMD Team Develops Novel Method to Recycle 3D Printed Circuit Boards

UMD researchers developed a low-cost, fully recyclable 3D-printed circuit board that dissolves in water, making electronics prototyping more eco-friendly.

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"Artificial Intelligence & Information Literacy" overlaid on hands typing at laptop

UMIACS Faculty Part of Winning Team in UMD Invention of the Year Competition

Hal Daumé III and Katie Shilton were part of a group that won for their technology that can teach students in any discipline about AI and information literacy.

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