Policy presence
University of Colombo has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Colombo, Sri Lanka
University of Colombo has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 23, 2026.
v1 public contract
University of Colombo has 6 source-backed AI policy claims from 3 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 23, 2026. Discovery context: University of Colombo is listed as QS 2026 rank 1001-1200.
As of this public record, University AI Policy Tracker lists University of Colombo as an agent-reviewed AI policy record last checked on May 23, 2026 and last changed on May 23, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-colombo.json. The entity-level confidence is 96%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
University of Colombo has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
University of Colombo has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of Colombo has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Colombo has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Colombo has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Colombo has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Colombo has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Colombo has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
University of Colombo has 1 source-backed public claim 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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
6 reviewed evidence-backed public claim
Academic Integrity
Normalized value: Unauthorized AI use in assessments is prohibited and may be treated as cheating.
原始证据
Evidence 1Using AI tools in all assessments (summative, formative, self-assessment, continuous assessments, in-class assessments, final assessments, etc.) is not permitted, unless instructions explicitly authorise such use in a particular academic activity/question/assignment. In the absence of such permission to use AI tools, it should be considered that the use of AI is not permitted. Using AI tools in summative assessment without authorisation is considered cheating and tantamount to an examination offence similar to the use of unauthorized material at an examination.
本地化显示 only
AI use in assessments is prohibited unless explicitly authorized, and unauthorized summative-assessment AI use is treated as cheating.
Ai Tool Treatment
Normalized value: GenAI policy applies to academic and administrative activities.
原始证据
Evidence 1This policy applies to the use of generative AI (GenAI) tools in academic and administrative activities. GenAI is broadly defined as "systems that possess the ability to process data in a way that resembles human intelligence" such as resembling human reasoning, learning, or creativity.
本地化显示 only
The policy states that it applies to GenAI tools in academic and administrative activities.
Privacy
Normalized value: Sensitive, confidential, or personally identifiable information must not be uploaded or shared into AI tools.
原始证据
Evidence 1Sharing with/uploading of sensitive or confidential information to an AI tool or any online sharing platform is strictly prohibited. Students must never input, upload, or share sensitive, confidential, or personally identifiable information (PII) into any AI tool or online platform. Staff must never input, upload, or share sensitive, confidential, or personally identifiable information (PII) into any AI tool or online platform.
本地化显示 only
Students and staff must not upload or share sensitive, confidential, or personally identifiable information into AI tools or online platforms.
Academic Integrity
Normalized value: Users remain responsible and must verify AI-generated content before incorporation.
原始证据
Evidence 1Students and staff remain fully responsible for the accuracy, originality, quality and integrity of all completed works, regardless of whether AI tools were used or not. AI can assist their works, but it cannot replace their own critical analysis and intellectual contribution. Students and staff are required to review, fact-check, and edit any AI-generated content before incorporating it into academic or administrative works.
本地化显示 only
Students and staff remain responsible for AI-assisted work and must review, fact-check, and edit AI-generated content before use.
Academic Integrity
Normalized value: Student AI use beyond specified no-declaration uses requires acknowledgement and student-owned intellectual work.
原始证据
Evidence 1If students use AI for the purposes beyond those specified in 1 - 2 above, they must explicitly acknowledge such use of AI in their work. The declaration should include a short description as to how the tool was used, name and version of the AI system used, the scope or purpose of use, preferably with the AI prompt or type of input provided. In all instances, the original intellectual work, analysis, interpretation, and synthesis must be carried out by the student.
本地化显示 only
Student AI use beyond specified no-declaration uses must be acknowledged, and original intellectual work must remain the student's own.
Teaching
Normalized value: AI marking or evaluative feedback requires institutional review, validation, QA, and human oversight.
原始证据
Evidence 1AI tools must not be used to mark or grade student works, generate evaluative feedback, or contribute to summative assessment decisions. AI systems/tools may only be used in assessment processes where the tool has undergone institutional review, rigorous validation and quality assurance, and where meaningful human oversight is maintained. Assessment decisions must remain fully human-led unless these checks are in place.
本地化显示 only
AI marking, feedback, or summative assessment support is not allowed unless institutional review, validation, quality assurance, and human oversight are in place.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
3 source attribution
cmb.ac.lk
science.cmb.ac.lk
science.cmb.ac.lk
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