Make the rules visible
State when AI is allowed, prohibited, disclosed, evaluated, and subject to human review.
Subject 02 / Public-review draft
AI can support learning, research, accessibility, advising, and campus services. The rules should still protect student work, explain consequential decisions, limit surveillance, respect workers, and give affected people authority before deployment.
Public review only. This draft does not certify a campus, approve a vendor, or imply student, worker, or reviewer endorsement.
In plain language
A campus should not treat people as passive users of systems chosen elsewhere. Before AI influences learning, access, work, discipline, or data, the campus should publish the rules and give affected people notice, protection, review, and appeal rights.
State when AI is allowed, prohibited, disclosed, evaluated, and subject to human review.
Control training reuse, hidden monitoring, profiling, retention, and disciplinary automation.
Students and workers should help review procurement, deployment, correction, and appeal.
Track learning, access, workload, service quality, data use, and who receives verified gains.
Interactive campus-use test
Use the lens you know best. The test identifies the risk, proof, people who need protection, and the condition that should make the use pause.
Authorship + grading
Your focused review question
What authorship or appeal right must exist before AI is used in grading or academic-integrity decisions?Answer on this site
Formal public draft
Status: public-review one-pager. The compact is a governance proposal, not a final campus policy, certification, vendor approval, or claim of adoption.
AI may support learning, research, accessibility, civic planning, and public benefit, but it must not replace human authorship, human judgment, student agency, worker dignity, or democratic governance.
Students must know when AI is allowed, prohibited, disclosed, or evaluated.
AI tools must strengthen explanation, reasoning, debate, and original work.
Prompts, submissions, learning, advising, and telemetry data cannot be reused for training without explicit governance.
Students and workers must know when AI affects grading, advising, admissions, hiring, support, or surveillance.
AI adoption must not expand hidden monitoring, profiling, proctoring, or disciplinary automation.
AI should reduce burden and improve services, not hide staff cuts or degrade teaching and support.
Verified savings should support students, workers, tuition relief, emergency aid, training, or community benefit.
Students must have review or voting authority in campus AI procurement and deployment.
People can show, explain, and remain responsible for their own reasoning and original work.
People receive clear notice before AI influences a consequential decision or service.
Students have defined rights over access, reuse, retention, deletion, and model training.
One focused contribution
Use a real or plausible campus situation. Name who is affected and the minimum protection the compact should require.
GitHub is optional and public. Use it for a source edit or public issue discussion.