Policy presence
University of Leicester has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Leicester, United Kingdom
University of Leicester
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
University of Leicester has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Leicester has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Leicester has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
University of Leicester has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
University of Leicester has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of Leicester has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
University of Leicester has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
5 reviewed evidence-backed public claim
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
Normalized value: university_level_ai_learning_teaching_assessment_framework
Original evidence
Evidence 11.3 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.
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
Normalized value: no_personal_data_without_explicit_consent
Original evidence
Evidence 17.2 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.
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
Normalized value: red_amber_green_assessment_categories
Original evidence
Evidence 19.4 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.
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
Normalized value: ai_marking_feedback_requires_staff_review_if_approved
Original evidence
Evidence 19.20 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.
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
Normalized value: student_training_ai_in_academic_integrity
Original evidence
Evidence 18.4 Training for students on the appropriate use of Generative AI should be included within the standard Academic Integrity training delivered to students.
Candidate claims
0 machine or needs-review claim
Official sources
2 source attribution
Academic quality and standards
le.ac.uk
Policy on Generative Artificial Intelligence in Learning, Teaching and Assessment
le.ac.uk