Policy presence
Universitat Ramon Llull has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Barcelona, Spain
Universitat Ramon Llull is listed as QS 2026 rank =436. Universitat Ramon Llull has 4 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Universitat Ramon Llull is listed as QS 2026 rank =436. Universitat Ramon Llull has 4 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Universitat Ramon Llull as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universitat-ramon-llull.json. The entity-level confidence is 90%. 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.
Universitat Ramon Llull has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Universitat Ramon Llull has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Universitat Ramon Llull has 2 source-backed public claims for coursework; deterministic analysis status: recommended.
Universitat Ramon Llull has 2 source-backed public claims for exams; deterministic analysis status: recommended.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Universitat Ramon Llull has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Universitat Ramon Llull has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
Universitat Ramon Llull has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Universitat Ramon Llull has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
4 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: ai_use_disclosure_recommended
Original evidence
Evidence 1Clearly indicate the sources and references of information. Explicitly state when AI-based tools are used and explain how the information has been utilized.
Localized display only
URL recommends indicating sources and explicitly stating AI-tool use and how the information was used.
Teaching
Normalized value: official_ai_recommendations
Original evidence
Evidence 1These recommendations have been developed by the Working Group on the Impact of Artificial Intelligence Tools Applied to Teaching-URL.
Localized display only
URL says the recommendations were developed by its Working Group on the Impact of Artificial Intelligence Tools Applied to Teaching.
Other
Normalized value: ai_legal_awareness_guidance
Original evidence
Evidence 1It is important for people, institutions, and companies to know the legislation in terms of AI in order not to omit obligations nor to have to face penalties.
Localized display only
URL's legality PDF emphasizes knowing AI legislation and regulatory obligations.
Source Status
Normalized value: public_recommendations_found_no_public_central_binding_policy_identified
Original evidence
Evidence 1As a result of interdisciplinary collaboration, the Working Group seeks to establish ethical guidelines and practices to ensure that the use of AI-based tools is beneficial and respectful of the values of the whole university community.
Localized display only
The official public AI source is framed as recommendations, ethical guidelines, and practices.
Original evidence
Evidence 2ACADEMIC-TEACHING MANAGEMENT INTRANET NETWORKS ... Access restricted to the centres. PHD PROGRAMMES INTRANET ... Access restricted to the centres. ACADEMIC MANAGEMENT PROTOCOLS ... Access restricted to the centres.
Localized display only
The parent pedagogical page lists several internal academic resources as restricted to centres.
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.
4 source attribution
url.edu
url.edu
url.edu
url.edu
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