ai_tool_treatment
The University of Leicester's Generative AI policy provides a university-level framework for appropriate AI use in learning, teaching, and assessment activities.
Change log
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
Current public record freshness and review state.
University of Leicester currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.
This page combines all public release diffs for University of Leicester. Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
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5 claim records
The University of Leicester's Generative AI policy provides a university-level framework for appropriate AI use in learning, teaching, and assessment activities.
The University of Leicester policy states that staff and students must not use generative AI in ways that collect, store, access, or share personal data without explicit consent.
For assessment, the University of Leicester uses three categories for generative AI use: red where AI must not be used, amber where AI may support assessment but not generate submitted content, and green where AI may generate assessment content within the brief.
The University of Leicester policy says AI is not normally used to generate marks or feedback, and any approved AI-supported marking or feedback must be reviewed by academic staff.
The University of Leicester policy says academic integrity training should include the appropriate use of generative AI, including ethical considerations, environmental impact, and critical engagement with AI outputs.
2 source attributions
official_guidance Tracker checked at May 16, 2026, 12:50 PM
official_policy_page Tracker checked at May 16, 2026, 12:51 PM