Policy presence
Swansea University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Swansea, United Kingdom
Swansea University
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
Swansea University has 3 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Swansea University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Swansea University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Swansea University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Swansea University has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Swansea University has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
Swansea University has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Swansea University 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
6 reviewed evidence-backed public claim
Privacy
Swansea University's AI assessment policy says staff and students should not enter identifiable information into any AI application, and are not permitted to upload student assessment or identifiable data without explicit written consent.
Review: Agent reviewed
Normalized value: no_identifiable_information_or_student_assessment_uploaded_without_written_consent
Original evidence
Evidence 1Staff and students should not enter any identifiable information into any AI application. Staff or students are not permitted to upload student assessment, or any identifiable data without explicit written consent, to AI applications for any reason (including attempts to check for AI generated content).
Academic Integrity
Swansea University's AI assessment policy says staff and students are not permitted to present work completed by AI applications as their own without acknowledgement.
Review: Agent reviewed
Normalized value: ai_work_cannot_be_presented_as_own_without_acknowledgement
Original evidence
Evidence 1Staff and students will not be permitted to present work completed by AI applications as their own without acknowledgement.
Ai Tool Treatment
Swansea University has a policy for responsible use of AI applications, including generative AI, in assessment, applying to faculty staff, students, and professional service staff involved in assessment or AI use within the University.
Review: Agent reviewed
Normalized value: ai_assessment_policy_applies_to_assessment_participants
Original evidence
Evidence 1This policy outlines the guidelines and principles for the responsible use of Artificial Intelligence (AI) applications, including generative AI, in assessment at Swansea University. This policy applies to all faculty staff, students, and professional service staff involved in assessment and/or the use of AI technologies within the University.
Academic Integrity
Swansea University's student AI guidance says AI-generated work submitted for assessment when not expressly authorised and declared could be investigated for academic misconduct.
Review: Agent reviewed
Normalized value: unauthorised_undeclared_ai_assessment_work_could_be_academic_misconduct
Original evidence
Evidence 1Work generated by AI tools and submitted for assessment when not expressly authorised and declared could be investigated for academic misconduct.
Teaching
Swansea University's student AI framework asks students to apply University policies on data protection, privacy, and academic integrity when selecting and using approved academic work, and to follow assessment instructions around permitted AI use and disclosure.
Review: Agent reviewed
Normalized value: student_framework_links_ai_use_to_policy_awareness_and_assessment_disclosure
Original evidence
Evidence 1Apply University policies on data protection, privacy, and academic integrity when selecting and using approved academic work, ensuring responsible and ethical practice. Follow assessment instructions around permitted AI use and disclosure.
Teaching
Swansea University's teaching-staff AI framework describes a 5P assessment-design approach intended to provide ethical and creative uses of generative AI while minimising academic misconduct risks.
Review: Agent reviewed
Normalized value: teaching_staff_5p_assessment_design_genai_guidance
Original evidence
Evidence 1The teaching and assessment model provides ethical and creative uses of GenAI while minimising the risks of academic misconduct. It can be used across disciplines and as a catalyst for cross-disciplinary collaboration.
Candidate claims
0 machine or needs-review claim
Official sources
4 source attribution
Artificial Intelligence Framework: Students - Swansea University
hwb.swansea.ac.uk
Artificial Intelligence Guidance - Swansea University
hwb.swansea.ac.uk
Policy on the Use of Artificial Intelligence (AI) in Student Assessment - Swansea University
hwb.swansea.ac.uk
The 5P Approach - Navigating Assessment Design and Academic Integrity in the Age of Generative AI - Swansea University
swansea.ac.uk