New Mexico AI Consortium (NMAIC)
Chaired by Dr. Melanie Moses
Partner Institutions: CNM, NMSU, NMT, Los Alamos, Sandia and the New Mexico Consortium (NMC)
The New Mexico Artificial Intelligence Consortium (NMAIC) is a groundbreaking collaboration between the state’s leading national laboratories, universities, and colleges. The mission of the NMAIC is to propel New Mexico to the forefront of artificial intelligence (AI) and machine learning (ML) research, workforce development, education, and infrastructure. By uniting the expertise and resources of these institutions, NMAIC is poised to drive transformative innovation in the field of AI.
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Political Science professor joins grant-funded project to advance AI research
As Artificial Intelligence continues to grow at a rapid pace, so will the research behind it at The University of New Mexico. Political Science Assistant Professor Sarah Dreier has been awarded as one of several experts across the country picked to work on a substantial grant-funded project on AI.
NSF RAISE NRT
Oishi, Moore, Chen, Danielson, Moses
Responsive and Resilient AI for Autonomous Systems Engineering (RAISE) is a NSF National Research Traineeship program in autonomous systems engineering at the University of New Mexico. This $3 million award provides a unique opportunity to advance graduate education, by pioneering convergent research while transforming STEM graduate education to better prepare the next generation of innovators.
The AI Research Institute on Interaction for AI Assistants (ARIA)
UNM Co-PIs:Melanie Moses and Sonia Gipson Rankin
The AI Research Institute on Interaction for AI Assistants (ARIA) team is led by Brown University and includes experts from leading research institutions nationwide including The University of New Mexico; Santa Fe Institute, Colby College; Dartmouth College; New York University; Carnegie Mellon University; the University of California, Berkeley; the University of California, San Diego; and Data and Society, a civil society organization in New York. The team will build and evaluate AI systems that understand human reasoning, respect community standards and adhere to principles of justice.
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Algorithmic Justice Project
Co-Founders: Moses, Rankin, Powers.
When machine learning is used to diagnose medical conditions, to inform hiring decisions, or even to detect hate speech, we must keep in mind that the past dwells in our data.” - Joy Boulamwini
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