AI Perspectives Week
Explore perspectives on the role of AI in our academic mission and its influence on accelerating teaching, learning, and discovery.
AI Tools and Infrastructure
WashU is expanding access to secure, institutionally supported AI tools so students, faculty, and staff can engage with emerging technologies in ways that are purposeful, responsible, and grounded in their academic work. For students, these tools offer hands-on experience with generative AI and help build the judgment needed to use it thoughtfully and responsibly in academic and professional settings.
Research Infrastructure
WashU supports AI- and data-intensive research with high-performance computing, secure AI API access, storage, controlled AI environments, and technical support. Together, these resources are expanding what is possible in research, supporting advanced imaging, large-scale data analysis, and computational modeling.
AI in Education
Artificial intelligence is reshaping how knowledge is created and applied, and WashU recognizes responsible engagement with AI as a vital skill—one that enhances and accelerates the intellectual and professional capacities students cultivate in their fields of study.
The new AI Literacy Module in Canvas provides WashU students with a shared foundation for understanding and using generative AI, and the AI Curriculum Corps deepens engagement by advancing thoughtful, field-specific instructional approaches in the classroom.
AI Curriculum Corps
The AI Curriculum Corps supports faculty in integrating generative AI into assignments and courses across disciplines to equip students to engage critically and responsibly with AI.
AI Research
Across the university, researchers in nearly every discipline are using AI to drive discovery that makes a real difference in people’s lives.
WashU equips researchers with advanced computing, secure and compliant environments for sensitive data, hands-on development support, and interdisciplinary centers needed to turn ambitious ideas into real-world impact.
Featured News
AI agents prompt redesign of web for security, privacy, reliability
Funded by a NSF Career Award, Umar Iqbal plans to redesign the web with infrastructures catered to AI agents and to meet higher, safer and stricter standards.
New technique evaluates reliability of AI-enabled medical imaging
WashU researchers have developed a method called that ranks AI-based imaging tools for accuracy, even when there’s no known “ground truth” to compare against. In tests, it correctly identified the most precise imaging method 95% of the time.
Machine learning methods move self-driving labs closer to materials discovery at scale
WashU researchers are training AI agents to screen thousands of chemical possibilities and flag the most promising candidates. One project already found 10 new materials that outperform current water-harvesting tech.
Upcoming Events
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Get in touch
Contact us to ask about tools, compute access, or to add a resource to this site.