Policy presence
Swansea University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Swansea, United Kingdom
Swansea University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Swansea University has 4 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Swansea University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Swansea University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Swansea University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Swansea University has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Swansea University has 3 source-backed public claims for approved tools; deterministic analysis status: required.
Swansea University has 3 source-backed public claims for named ai services; deterministic analysis status: blocked.
Swansea University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
Swansea University
7 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: {"tool":"microsoft_copilot","rawToolName":"Microsoft Copilot","description":"Swansea identifies Microsoft Copilot as its recommended GenAI tool for staff.","howToObtain":"Follow Swansea's Digital Services Copilot guide.","costToUser":"Not specified by the cited source.","availability":"not_mentioned","endorsementType":"officially_endorsed"}
原始证据
Evidence 1Microsoft Copilot Guide: This quick-start EDT guide to Microsoft Copilot, the University's recommended Gen AI tool, includes where to find Copilot and responsible use. Digital Services identifies why Copilot is the recommended AI tool for staff at Swansea University.
本地化显示 only
Microsoft Copilot Guide: This quick-start EDT guide to Microsoft Copilot, the University's recommended Gen AI tool, includes where to find Copilot and responsible use. Digital Services identifies why Copilot is the recommended AI tool for staff at Swansea University.
Privacy
Normalized value: no_identifiable_information_or_student_assessment_uploaded_without_written_consent
原始证据
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
Normalized value: ai_work_cannot_be_presented_as_own_without_acknowledgement
原始证据
Evidence 1Staff and students will not be permitted to present work completed by AI applications as their own without acknowledgement.
Ai Tool Treatment
Normalized value: ai_assessment_policy_applies_to_assessment_participants
原始证据
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
Normalized value: unauthorised_undeclared_ai_assessment_work_could_be_academic_misconduct
原始证据
Evidence 1Work generated by AI tools and submitted for assessment when not expressly authorised and declared could be investigated for academic misconduct.
Teaching
Normalized value: student_framework_links_ai_use_to_policy_awareness_and_assessment_disclosure
原始证据
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
Normalized value: teaching_staff_5p_assessment_design_genai_guidance
原始证据
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.
0 machine or needs-review claim
5 source attribution
hwb.swansea.ac.uk
swansea.ac.uk
hwb.swansea.ac.uk
hwb.swansea.ac.uk
swansea.ac.uk