Aug 19, 2026, 2:06 PM

At Cornell Bowers, faculty do AI and now staff do too - news.cornell.edu

30-second summary

Cornell Bowers College has launched an AI training program for staff, expanding beyond faculty to include administrative and support teams.

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Key takeaways
  • Cornell Bowers College is the first major university to expand AI training to non-academic staff, including administrative and support teams.
  • The program focuses on practical AI applications rather than theoretical research, targeting real-world operational needs.
  • This initiative reflects a broader trend of universities preparing their entire workforce for AI integration.
  • The training emphasizes ethics and hands-on workshops, distinguishing it from faculty-only programs.
Full story

Cornell Bowers College has extended its AI education initiatives to include non-academic staff, marking a shift toward broader institutional AI literacy. The program targets administrative, technical, and support teams, aiming to equip them with foundational AI skills. This move aligns with Cornell’s broader strategy to integrate AI across all university functions, not just research and teaching. The initiative follows earlier faculty-focused AI training and reflects a growing trend of universities preparing their entire workforce for an AI-driven future.

The training covers practical applications of AI tools, ethical considerations, and hands-on workshops tailored to staff roles. Unlike traditional academic programs, the curriculum emphasizes real-world use cases, such as automating administrative tasks and improving decision-making processes. Cornell’s approach contrasts with other institutions that limit AI education to faculty and students, signaling a more inclusive and forward-thinking model.

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Why this matters
Businesses

Demonstrates how organizations can upskill non-technical teams to leverage AI tools effectively.

Everyone

Highlights the growing importance of AI literacy across all professional roles.

Glossary
AI literacy
The ability to understand, use, and critically evaluate AI technologies in professional and personal contexts.
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