The DoIT AI site is here to help the community with information on using artificial intelligence (AI), especially generative AI (GenAI), to support UMBC’s Administrative, Instructional, and Research efforts. This site is designed to support employees looking to advance their use of GenAI. We recommend that our UMBC community start by visiting GenAI Tools, this page will highlight what free resources are available to use and what options exist to safely use GenAI while safeguarding UMBC institutional data.

For staff providing support, we encourage people to look at Administrative AI, as a starting point. Our goal is to save people time and hopefully improve the quality of their work, thus increasing productivity. We highlight some tools that DoIT is providing for support and we are seeking partners to work with DoIT on expanding myUMBC Answers. The real key to your office leveraging myUMBC Answers is to be able to provide validated and accurate content, such as FAQs or a handbook produced annually.

For faculty, we encourage you to also explore instructional AI and research AI. A wonderful resource in the College of Engineering Center for AI.  You can follow news about the UMBC Center for AI on social media through its sites on LinkedIn, Bluesky, X, and Facebook.Members of the UMBC community can subscribe to the UMBC AI Group to receive email about AI-related news and events.  If you have news to share with the UMBC AI community or suggestions or comments on the site, please send them to umbc-ai@cs.umbc.edu.

AI News

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Learning Analytics Mini Grants CFP Due 6/7/24

Prior LA workshops may help inform proposals

UMBC’s Division of Information Technology (DoIT), in partnership with the Office of the Provost, is pleased to announce the call for proposals for the 2024 Learning Analytics (LA) Mini Grants....

Posted: May 2, 2024, 9:00 AM

Chem Prof, DoIT Staff Co-author Chapter in Analytics Book

UMBC case study focuses on "spaced practice" in Gen Chem

Earlier this semester, Taylor & Francis published Data Analytics & Adaptive Learning: Research Perspectives (2023), which includes a UMBC case study about Dr. Tara Carpenter's use of...

Posted: November 21, 2023, 7:16 AM

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