Speakers
Description
Artificial intelligence has become integral to modern research infrastructure, yet access remains profoundly unequal. While large, well-resourced institutions rapidly deploy AI capabilities, smaller universities and historically underserved institutions face systematic barriers that widen the research capacity gap. This challenge transcends borders -research and education networks worldwide face critical questions: how do we democratize access to AI-enabled research infrastructure?
What will the TNC audience take away from your talk?
These barriers are universal. NRENs around the world working with smaller institutions face identical challenges. The MS-CC framework offers approaches that translate across contexts because it addresses both technical infrastructure requirements and community-building necessary for sustainable adoption. The technical infrastructure elements directly parallel TNC community priorities: identity federation for seamless AI resource access, workforce development for specialized roles, and efficient models for resource sharing among institutions with limited individual capacity. CASC’s Democratization reinforces that lessons learned from U.S. minority-serving institutions can be applied globally, highlighting strategies to expand AI research infrastructure equitably across under-resourced institutions.
| Are you a first time speaker at TNC? | No |
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