The University of Maryland is a major public research institution located in College Park, Maryland, and serves as one of the flagship universities of the University System of Maryland. As a leading academic research center, the institution has established itself as a significant contributor to artificial intelligence safety research and evaluation initiatives in the United States.¹⁾

The University of Maryland comprises multiple schools and colleges offering comprehensive undergraduate and graduate programs across engineering, computer science, business, and numerous other disciplines. The institution is recognized for its research output, particularly in computer science and engineering fields, where faculty members and research teams investigate cutting-edge topics in AI, machine learning, cybersecurity, and related domains.

The University of Maryland has participated in collaborative research initiatives focused on evaluating and improving the safety characteristics of advanced AI systems. As part of US-led research consortiums, the institution has contributed expertise in analyzing AI model capabilities and identifying potential safety considerations. Such research efforts typically involve comprehensive evaluations of model behavior, potential vulnerabilities, and alignment with human values and safety standards ²⁾.

The university's involvement in these safety evaluation initiatives reflects broader trends within the academic research community to develop rigorous methodologies for assessing advanced AI systems, particularly those developed internationally. This collaborative approach enables researchers to pool expertise from multiple institutions and geographical contexts to conduct comprehensive safety analyses.

As a research-intensive institution, the University of Maryland maintains laboratories and computing facilities supporting AI and machine learning research. The institution's computer science department includes faculty with expertise in multiple specialized areas including machine learning, natural language processing, robotics, and systems research. These capabilities position the university to contribute meaningfully to interdisciplinary research projects that require diverse technical expertise.

The university's participation in research consortiums evaluating advanced AI systems reflects the growing importance of academic institutions in AI governance and safety assessment. Universities bring independent research perspectives and institutional credibility to evaluations of AI systems, complementing perspectives from government agencies and private sector researchers. The University of Maryland's contributions to such initiatives demonstrate the institution's commitment to responsible AI development and transparent evaluation practices.

• University of Chicago
• University of Texas at Austin
• Johns Hopkins University