Collin College employees could use artificial intelligence on the job, but only approved tools, with a person checking the results and without feeding in student or personnel records, under a new policy up for a vote Friday, Oct. 30.
The rules, filed as policy CRB (Local), are on the board of trustees' agenda for a second reading and approval at its regular meeting at the Collin Higher Education Center in McKinney.
A memo from General Counsel Monica Velazquez says the board's Organization, Education and Policy Committee is recommending the policy unchanged, and that it grew out of the college's review of all its policies with recommendations from the Texas Association of School Boards' policy service.
Who decides which tools are allowed
The policy applies to AI used on college devices and on personal devices used for college business. The district president or a designee would set up a standing AI Adoption & Innovation Committee to approve AI systems, assess risk and publish a list of tools cleared for general use. Only tools on that list should be used for college business.
The college's chief innovation officer would be responsible for compliance procedures, and the college could monitor AI use on college-issued devices.
The draft names ChatGPT, Gemini, NotebookLM and Copilot as examples of generative AI. It sets stricter review for a "heightened scrutiny AI system," one meant to make or heavily drive decisions such as admissions, financial aid, hiring, discipline or access to services the college must provide.
Rules for AI output
AI-generated content would have to be reviewed by qualified staff before it is published, shared with decision makers or used in college business, with the review documented. Employees would be responsible for inaccurate or fabricated AI content, which the policy calls "hallucinations," that they publish without that review. Systems would have to be tested before deployment, though internal drafts are exempt.
Users are told to assume anything typed into an AI tool may be stored, used to train models or made public. The policy bars entering Social Security numbers, financial account data, student records protected by federal privacy law, confidential personnel files, health records, passwords and other confidential information without written permission.





