Policy presence
Universidad de los Andes has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bogotá, Colombia
Universidad de los Andes
Universidad de los Andes is listed as QS 2026 rank =212. Universidad de los Andes has 6 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universidad de los Andes is listed as QS 2026 rank =212. Universidad de los Andes has 6 source-backed AI policy claim records from 1 official source attribution. 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 los Andes as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-de-los-andes.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.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the 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 los Andes has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad de los Andes has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Universidad de los Andes has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Universidad de los Andes has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universidad de los Andes has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Universidad de los Andes has 2 source-backed public claims for approved tools; deterministic analysis status: recommended.
Named AI services
Universidad de los Andes has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universidad de los Andes has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universidad de los Andes has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
Universidad de los Andes has 3 source-backed public claims for security and procurement; deterministic analysis status: conditionally_allowed.
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
6 reviewed evidence-backed public claim
Source Status
Universidad de los Andes has an October 2024 institutional generative AI guidance document for students, professors, researchers, creators, and administrative employees.
Review: Agent reviewed
Normalized value: institutional IAG guidance
Original evidence
Evidence 1la Universidad de los Andes propone en este documento un conjunto de orientaciones para estudiantes, profesores y empleados administrativos. Estas orientaciones buscan aclarar conceptos y establecer pautas para el uso y aplicación responsable de herramientas de IAG
Localized display only
The document gives orientations for students, professors, and administrative employees on responsible use and application of generative AI tools.
Ai Tool Treatment
The Uniandes guidance recommends informed, responsible, critical, transparent use of generative AI and says users should not present AI-generated material as their own.
Review: Agent reviewed
Normalized value: responsible transparent use
Original evidence
Evidence 1los usuarios deben evaluar críticamente los materiales generados por las herramientas... Usar de manera transparente la herramienta para elaborar trabajos académicos, investigativos o para reportes administrativos... No se debe hacer pasar como propio un texto u otro material que haya sido generado con una herramienta de IAG.
Localized display only
Users should critically evaluate AI-generated material, use tools transparently in academic/research/administrative work, and not pass AI-generated material off as their own.
Privacy
The Uniandes guidance recommends that users avoid entering personal, third-party, or confidential information into generative AI prompts.
Review: Agent reviewed
Normalized value: avoid personal or confidential data in prompts
Original evidence
Evidence 1se recomienda que cuando una persona utilice una IAG se abstenga de incluir información personal, propia o ajena, e información confidencial en las instrucciones que utilice para la generación de contenido.
Localized display only
The guidance recommends not including personal, third-party, or confidential information in prompts.
Academic Integrity
For students, Uniandes describes several AI-supported learning uses only when the professor has authorized the use and says students should consult faculty/unit guidance and each professor’s instructions.
Review: Agent reviewed
Normalized value: student use conditioned on instructor authorization
Original evidence
Evidence 1se describen ejemplos de funciones que ofrecen estas herramientas para la realización de actividades por parte de estudiantes, siempre y cuando el profesor haya autorizado su uso... cada estudiante deberá consultar las guías o recomendaciones publicadas por sus Facultades y demás unidades académicas
Localized display only
Student uses are described only when the professor has authorized them, and students should consult faculty/unit guidance and professor instructions.
Teaching
For professors, Uniandes says each professor is responsible for communicating in the syllabus and activity instructions how students may use generative AI in the course.
Review: Agent reviewed
Normalized value: professors define and communicate course AI-use conditions
Original evidence
Evidence 1Es responsabilidad de cada profesor comunicar a los estudiantes tanto en el programa del curso como en las instrucciones de cada actividad cómo pueden utilizar las herramientas de IAG en el curso.
Localized display only
Each professor is responsible for communicating in the course program and activity instructions how students may use AI tools.
Research
For researchers, Uniandes describes generative AI as a support tool for research tasks but says its use must not compromise research integrity and responsibility remains with the researcher.
Review: Agent reviewed
Normalized value: research support with integrity boundary
Original evidence
Evidence 1En ningún caso, el uso de la IAG debe comprometer la integridad de la investigación... la decisión y responsabilidad de uso de la IAG para la investigación recae en última instancia en el investigador.
Localized display only
Generative AI use must not compromise research integrity; the decision and responsibility ultimately rests with the researcher.
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
1 source attribution
Lineamientos para el uso de inteligencia artificial generativa (IAG) en la Universidad de los Andes
secretariageneral.uniandes.edu.co
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.