S&T Policy
At Missouri S&T, Generative Artificial Intelligence (GAI) refers to a growing class of technologies that use machine learning to create original content such as text, images, or code. Tools like ChatGPT, Microsoft Copilot, and others are expected to have a significant impact on how we teach, learn, conduct research, and manage operations across campus.
Although a system-wide governance structure is still in development, Missouri S&T is collaborating with university partners to thoughtfully explore and guide the use of AI technologies in a variety of contexts.
The campus encourages the responsible and ethical use of AI by students, faculty, and staff. This page provides guidance on how AI can be integrated into academic and workplace settings, outlines compliance considerations, and highlights approved AI tools currently available for use.
Given the fast-moving nature of generative AI, these guidelines will continue to evolve as new developments and best practices emerge.
All users are expected to comply with this policy as well as the Acceptable Use Policy
S&T AI Best Practices
- AI will utilize your data for other purpose. Be cautious of what you share.
- Ensure that the AI models does not train with your submissions to ensure the data doesn't leave your control.
- Prioritize protecting intellectual property and data over results. Do not utilize AI when dealing with sensitive data, unless approved, such as student information, restricted grant information, unpublished research, or other works in progress.
- Be clear and precise with your prompts to prevent misinformation and bad responses.
- Perform regular fact checks on AI responses. AI is still unpredictable even in a controlled and professional environment, ensure that the response you are given is factually correct before sharing information.
If you're interested in more information about AI activities at S&T, please visit minerai.mst.edu.
Approved AI Services
Although many software titles have AI included, not all are approved for use at S&T. Check the approved software list before using.
Missouri S&T’s IT teams continually monitor emerging technologies to identify opportunities for thoughtfully integrating them into the university’s digital infrastructure and learning environments.
Note: Before using these tools, please check with your department for any specific policies or guidelines. To meet the Board of Curators technology acquisition policy (BPM 12004), IT Compliance must review and approve each software use case.
Approved General Purpose AI Tools
DCL Classification System: Data Classification System - Definitions | University of Missouri System
Need a different AI Software?
To view the comprehensive list of approved AI software, visit ITAM: Approved Software.
For new software, submit a request for approval to IT at Service - Request Software Approval.
Not all requests are guaranteed for approval.
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