TimeGrid

AI GOVERNANCE

Responsible AI

TimeGrid uses AI and optimisation to assist scheduling, explain trade-offs and improve resource use while keeping final institutional control with authorised users.

Decision support

AI recommendations should support, not replace, authorised academic decision-making. Timetables should be reviewed before publication.

Explainability

Where possible, optimisation results should show conflicts, constraint satisfaction, utilisation measures and relevant trade-offs rather than presenting an unexplained score.

Fair scheduling

Institutions should review workload, availability and scheduling policies to avoid unintended disadvantage and ensure constraints reflect approved academic rules.