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.
Review: Agent reviewed
Change log
University of Leicester
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Change summary
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.
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.
Claim/evidence diff preview
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University of Leicester current policy evidence
Inserted lines represent current public claim and evidence records in the source-backed dataset.
+10-0
11 # University of Leicester AI policy record
2+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.
3+Evidence (en, 9b20a119786d): 1.3 This policy provides a university-level framework, for staff and students for how and where it is appropriate to utilise AI for learning, teaching and assessment activities.
4+privacy: 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.
5+Evidence (en, 9b20a119786d): 7.2 Staff and students must not use Generative AI for any purpose that would result in personal data being collected, stored, accessed, and shared without the explicit consent of the people whose data is being processed.
6+academic_integrity: 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.
7+Evidence (en, 9b20a119786d): 9.4 The University has identified three broad categories of assessment for the purposes of determining whether students may use Generative AI in the process of completing the assessment. Students will be informed which assessments fall into which categories.
8+teaching: 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.
9+Evidence (en, 9b20a119786d): 9.20 Where a school wishes to request that the marking for an assessment could be supported by AI, this will be reviewed and subject to approval by the University. In all cases, any Generative AI supported marking must be subject to review and validation by members of academic staff.
10+teaching: 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.
11+Evidence (en, 9b20a119786d): 8.4 Training for students on the appropriate use of Generative AI should be included within the standard Academic Integrity training delivered to students.
Claim changes
5 claim records
privacy
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.
Review: Agent reviewed
academic_integrity
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.
Review: Agent reviewed
teaching
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.
Review: Agent reviewed
teaching
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.
Review: Agent reviewed
Source snapshots
2 source attributions
Academic quality and standards
official_guidance checked May 16, 2026
Policy on Generative Artificial Intelligence in Learning, Teaching and Assessment
official_policy_page checked May 16, 2026