AI-Related Research Communities

UMD launched the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), bringing together AI experts across campus to focus on responsible, ethical development and use of the technology to advance public good in industry, government and society. Students across all majors will learn the principles of AI and how they apply to their field of study, preparing them for an AI-infused workforce.

As a trusted partner of the Department of Defense and the intelligence community, ARLIS applies a human-centered approach to incorporate AI, autonomy and augmentation research and development into operational workflows that are trusted, reliable and safe.

ArtIAMAS is a cooperative agreement between the Army Research Laboratory and the University of Maryland that supports and stimulates the advancement of science and technology in robotics, systems, and smart devices that work intelligently in cooperation with each other and human actors across multiple domains.

This center conducts research and outreach to realize AI's potential through intentional design and governance frameworks centering on human judgment and creativity.

GoTech is focused on building an expansive community of educators, researchers, private practitioners, and policymakers to: explore the development, governance, and sustainment of complex critical infrastructure technologies and networks through rigorous interdisciplinary research; help advance a holistic approaches to governance through effective engagement between the public and private sector; and develop interdisciplinary educational programs. 

The IAI Center works to bring the potential of AI to a wide range of industries, including aerospace, energy, health care, manufacturing and others with a focus on AI-enabled predictive process monitoring.

This multidisciplinary center uses powerful computing tools to address challenges in big data, computer vision, health care, financial transactions and fairness in AI.

The CLIP Laboratory at Maryland is engaged in designing algorithms and methods that allow computers to effectively and efficiently perform human language-related tasks, as well as using computational methods to improve our scientific understanding of the human capacity for language, and to explore heterogeneous datasets at scale. 

HCIL has a long, rich history of transforming the experience people have with new technologies. From understanding user needs, to developing and evaluating those technologies, the lab’s faculty, staff, and students have been leading the way in HCI research and teaching.

ISR is at the forefront of interdisciplinary research and education in the system sciences and systems engineering.

TRAILS is the first organization to integrate artificial intelligence participation, technology and governance during the design, development, deployment and oversight of AI systems. We investigate what trust in AI looks like, how to create technical AI solutions that build trust, and which policy models are effective in sustaining trust.

The Maryland Robotics Center is an interdisciplinary research center that aims to advance robotic systems, underlying component technologies, and applications of robotics through research and educational programs that are interdisciplinary in nature and based on a systems approach.

The goal is to design tools and experiences that maximize impact on teaching and learning, especially for historically marginalized student populations.

OTTRS aims to advance research and collaboration on the study of teams as relevant to technology and information. Topics include, but are not limited to, teams and artificial intelligence, technology to support different types of teams, collaborative learning, ethics in teams and technology, leveraging technology to improve the study of teams, and more.

SoDa leverages UMD’s substantial strengths in survey methods, measurement, information management, visualization, and analytics to conduct research, provide education, and work with partners to advance social data science and measurement.

UMIACS pioneers computational science involving national defense, precision medicine, big data, cybersecurity, language and culture, and more. The UMIACS Center for Automation Research (CfAR) is a leader in research and education involving computer vision, computer visualization, perceptual interfaces, and language and media processing.

The UM-IHC aims to improve well-being and quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond. The institute merges top-tier computational expertise at the University of Maryland, College Park, and biomedical research at the University of Maryland, Baltimore, with the University of Maryland Medical System's vast and geographically diverse clinical care network into a force for health care innovation.

VCAI’s goal is to integrate research and education across campus, engage in high-impact research with local stakeholders and—hopefully—transform how artificial intelligence is practiced globally.