Colgate University
NY · AI Readiness #194 of 227
AIREDEX™ Score: 5.2 /10
Colgate has built one of the more thorough AI policy frameworks among small liberal arts colleges, publishing a 12-category governance structure at colgate.edu/ai-colgate that includes a Baseline Policy on Generative AI embedded directly in the Honor Code.
Colgate undergrads have access to three distinct AI tools, including a custom chatbot running on the university's own supercomputer, Microsoft Copilot, and Google Gemini. Students can also attend hands-on GenAI Jam Sessions and workshop modules through ITS.
Pillar grades
- Commitment: D
- Curriculum: B-
- Partnerships: F
- Research: B+
A(I)ttitude™: neutral
Selected Highlights
- Full 12-category AI policy framework published at colgate.edu/ai-colgate, covering academic integrity, research, teaching and learning, and institutional governance; includes named Baseline Policy on Generative AI embedded in the Honor Code.
- Three distinct campus-wide AI tools confirmed with student access: ITS-built chatbot (runs on Colgate supercomputer, Colgate-community-only), Microsoft Copilot (via Colgate credentials, enterprise compliance), and Google Gemini (via Colgate Google account).
- Multiple named AI training components confirmed: GenAI Jam Sessions (ITS, 60-min collaborative workshops), named module series (AI Agents in Action, AI for Image Manipulation, Google Tools: Gemini and NotebookLM, Google Workspace Studio Automation), LinkedIn Learning portal (free, all community), and Picker ISI ML workshop (20+ faculty, cross-disciplinary, June 2026).
- Named AI-active faculty with public outputs within past 2 years: Noah Apthorpe (ML/privacy/HCI), Grusha Prasad (NLP), Ahmet Ay (ML applied to biology), Bruce Hansen (LLM/visual cognition NSF grant). ITS-faculty collaborative AI tools SealNet and DeepBryo AI documented.
- NSF 3-year collaborative grant confirmed for Bruce Hansen (Psychology & Brain Sciences) using large language model as core AI component, with Barnard College as co-PI institution. NSF CC* $500K computing grant (PI: Niranjan Davray) also confirmed with 25% AI-dedicated compute.