Policy presence
Universidad de Costa Rica has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
San Jose, Costa Rica
Universidad de Costa Rica
Universidad de Costa Rica is listed as QS 2026 rank =499. Universidad de Costa Rica 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.
Short answer
v1 public contract
Universidad de Costa Rica is listed as QS 2026 rank =499. Universidad de Costa Rica 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.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidad de Costa Rica as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 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/universidad-de-costa-rica.json. The entity-level confidence is 94%. 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.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
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.
AI disclosure
Universidad de Costa Rica has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad de Costa Rica has 1 source-backed public claim for coursework; deterministic analysis status: allowed.
Exams
Universidad de Costa Rica has 1 source-backed public claim for exams; deterministic analysis status: allowed.
Privacy and data entry
Universidad de Costa Rica has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
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.
Approved tools
Universidad de Costa Rica has 4 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Universidad de Costa Rica has 2 source-backed public claims for named ai services; deterministic analysis status: allowed.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
4 reviewed evidence-backed public claim
Source Status
Universidad de Costa Rica has an official institutional framework page and linked framework document for AI governance and management.
Review: Agent reviewed
Normalized value: official_ai_governance_framework_available
Original evidence
Evidence 1El Marco de gobernanza y gestión de la Inteligencia Artificial en la Universidad de Costa Rica surge como una respuesta institucional ética y humanista para orientar la integración de la IA en la docencia, investigación, acción social y administración.
Localized display only
The CI/UCR page identifies an institutional AI governance and management framework for teaching, research, social action, and administration.
Source Status
UCR's Rectoría declared the ethical, critical, and humanistic adoption of AI and emerging technologies to be of institutional interest on an indefinite basis.
Review: Agent reviewed
Normalized value: ethical_critical_humanistic_ai_adoption_declared_institutional_interest
Original evidence
Evidence 1Declarar de interés institucional la adopción ética, crítica y humanista de la inteligencia artificial y las tecnologías emergentes en la Universidad de Costa Rica. Establecer que la presente declaratoria de interés institucional tendrá un carácter indefinido.
Localized display only
R-531-2025 declares ethical, critical, and humanistic AI adoption an indefinite matter of institutional interest.
Ai Tool Treatment
UCR's Rectoría resolution frames AI implementation and use in university functions as subject to institutional guiding principles, effective human supervision, and applicable institutional procedures.
Review: Agent reviewed
Normalized value: ai_use_allowed_with_principles_human_supervision_and_institutional_procedures
Original evidence
Evidence 1Formalizar la implementación y el uso de la IA en las funciones sustantivas y administrativas de la Universidad de Costa Rica, siempre que dicho uso se realice en estricto apego a los principios orientadores establecidos en la presente resolución, con supervisión humana efectiva.
Localized display only
R-469-2025 frames AI implementation and use in UCR functions as tied to the resolution's guiding principles and effective human supervision.
Privacy
UCR's institutional AI governance framework identifies personal-data protection as a guiding principle for AI decisions and secure information handling.
Review: Agent reviewed
Normalized value: personal_data_protection_guiding_principle
Original evidence
Evidence 1Protección de datos personales: Se orienta a resguardar la privacidad y asegurar un tratamiento legítimo y seguro de la información.
Localized display only
The framework lists personal-data protection as a principle for privacy and legitimate, secure information handling.
Candidate claims
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.
Official sources
4 source attribution
Marco de gobernanza y gestión de la IA UCR
ci.ucr.ac.cr
Marco de gobernanza y gestión de la Inteligencia Artificial en la Universidad de Costa Rica
ci.ucr.ac.cr
Resolución de Rectoría R-469-2025: Lineamientos generales para la implementación de la inteligencia artificial en la Universidad de Costa Rica
ci.ucr.ac.cr
Resolución de Rectoría R-531-2025
ci.ucr.ac.cr
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.