OpenAI Interest Groups

AI in Higher Education

Caltech & Goldhirsh Foundation

Caltech CTME AI Educator & AI Executive in Residence @ Caltech & Goldhirsh Foundation

Wharton

Executive MBA Student @ Wharton

Stanford University

Director of Clinical Pathology Informatics @ Stanford University

OpenAI

Human Data / Forum Community Ambassador @ OpenAI

Kennesaw State University

Lead Academic Data Scientist @ Kennesaw State University

CUNY

Lecturer @ CUNY

Harvard Business School

Student @ Harvard Business School

Professor @ Harvard Business School

Education GTM @ OpenAI

NYU Stern School of Business

Chief AI Architect @ NYU Stern School of Business

Recommendation 1: Establish transparent policies for how AI is used to support operational activities in postsecondary education settings. 

Recommendation 2: Create or expand infrastructure to support the innovative application of AI in instruction, student advising and support, and assessment. 

Recommendation 3: Rigorously test and evaluate AI-driven tools, supports, and services. 

Recommendation 4: Seek collaborative partners for designing and iteratively testing AI models across educational applications.

Recommendation 5: Review, refine, and supplement program offerings in light of the growing impact of AI on future jobs and career opportunities.

https://tech.ed.gov/files/2025/01/OS-24-002833-AI-in-Postsecondary-Ed.pdf

Navigating Artificial Intelligence in  Postsecondary Education

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