AI News + Events

The latest AI breakthroughs, news, and events across Cornell.

Event Spotlight

AI4AI Seminar Series

The AI4AI seminar series will occur on the second Friday of each month this fall.

The AI4AI Seminar Series is part of the Assured Integrity for AI-Based Software (AI4AI) initiative led by Cornell faculty by Alexandra Silva and Vitaly Shmatikov. The series brings together researchers and practitioners to discuss emerging challenges and advances in AI security, assurance, and trustworthy AI systems.

Location: Computing and Information Science Building room 350, Ithaca Campus
Click here to attend via Zoom

The AI4AI seminar series will occur on the second Friday of each month this fall.

Date: September 11, 2026
Time: 3-4 p.m.

Speaker: Guy Amir, postdoctoral researcher, Department of Computer Science, The University of Texas at Austin
Title: Verifiable Fault Tolerance in AI Training

Date: October 9, 2026
Time: 3-4 p.m.

Speaker: Stefan Zetzsche, Applied Scientist, Automated Reasoning Group, Amazon Web Services
Title: Dogwood: Runtime Verification for AI Agents

Date: November 13, 2026
Time: 3-4 p.m.

Speaker: TBD
Title: TBD

Date: December 11, 2026
Time: 3-4 p.m.

Speaker: TBD
Title: TBD

 

Toyota Research Institute, Cornell partner on AI projects

Toyota Research Institute, Cornell partner on AI projects

Researchers from the Cornell Duffield College of Engineering and the Cornell Bowers College of Computing and Information Science are teaming up with the Toyota Research Institute for projects involving AI personalization and robotics.

Morgans’ $1.25M gift to support AI fellows program

Morgans’ $1.25M gift to support AI fellows program

A $1.25 million seed grant from James C. Morgan ’60, MBA ’63, and Rebecca Quinn Morgan ’60 will support the establishment of an AI fellows program focused on operational and administrative transformation.

Regular audits would build trust, confidence in AI

Regular audits would build trust, confidence in AI

J. Nathan Matias, assistant professor of communication, is a co-author of “Auditing AI,” which offers AI users from all walks of life an introduction into AI evaluation, which is key for developing trust in the technology.

Explore how we are tackling AI's biggest challenges.

AI News

Stay updated on AI news and events happening across Cornell.

AI @ Cornell

Learn more about the Cornell AI Initiative, a university-wide effort to advance our leadership in research and education.