Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Concepción, Chile
Universidad de Concepción
Universidad de Concepción has 7 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 7 reviewed claims. Last checked May 17, 2026.
Universidad de Concepción AI policy short answer
v1 public contract
Universidad de Concepción has 7 source-backed AI policy claims from 5 official source attributions, including 7 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 17, 2026. Discovery context: Universidad de Concepción is listed as QS 2026 rank =613.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidad de Concepción as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 5 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-concepcion.json. The entity-level confidence is 93%. 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 Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Other policy claims.
- Evidence includes Security review claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security 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 Concepción has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad de Concepción has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Universidad de Concepción has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Universidad de Concepción has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universidad de Concepción has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Universidad de Concepción has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
Universidad de Concepción has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universidad de Concepción has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Universidad de Concepción has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
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
7 reviewed evidence-backed public claim
Academic Integrity
The [genIA] ethics guide says practical AI use should clearly define what is allowed, ask for declaration and citation of tool use when appropriate, verify student understanding and original contribution, and avoid entering sensitive information into external services.
Review: Agent reviewed
Normalized value: declare_cite_verify_avoid_sensitive_external_services
Original evidence
Evidence 1Definir con claridad qué se permite y qué no. Pedir declaración de uso y citar herramientas cuando corresponda. Verificar comprensión y aporte propio del estudiante. Evitar ingresar información sensible en servicios externos.
Localized display only
Clearly define what is allowed and what is not; ask for declaration and citation of tools when appropriate; verify student understanding and contribution; avoid entering sensitive information into external services.
Teaching
UdeC's [genIA] ethics page presents institutional guidelines and interactive tools for deciding how to incorporate generative AI in teaching and research while safeguarding transparency, authorship, privacy, and equity.
Review: Agent reviewed
Normalized value: institutional_guidelines_for_generative_ai_in_teaching_and_research
Original evidence
Evidence 1Esta sección reúne lineamientos y herramientas interactivas para decidir cómo incorporar IA generativa en docencia e investigación, resguardando transparencia, autoría, privacidad y equidad.
Localized display only
This section brings together guidelines and interactive tools for deciding how to incorporate generative AI in teaching and research while safeguarding transparency, authorship, privacy and equity.
Teaching
The [genIA] teacher annex presents three orienting institutional template options for course or assignment instructions: generative AI allowed with conditions, restricted by stages, or prohibited except with explicit authorization.
Review: Agent reviewed
Normalized value: course_templates_allowed_restricted_prohibited_ai_use
Original evidence
Evidence 1Se contemplan tres opciones de lineamientos institucionales orientadores para explicitar el uso ético y responsable de herramientas de IA generativa en la asignatura: 1.1 Uso de tecnologías digitales emergentes e IA generativa permitido con condiciones. 1.2 Uso restringido de tecnologías emergentes e IA por etapas. 1.3 Uso prohibido (salvo autorización explícita) de tecnologías digitales emergentes.
Localized display only
The page lists three orienting institutional options for courses: AI use allowed with conditions, restricted by stages, or prohibited except with explicit authorization.
Academic Integrity
The [genIA] teacher annex suggests including a 'Declaracion de autoria humana y uso de tecnologias digitales emergentes como la IA Generativa' section in each assignment or academic activity submission.
Review: Agent reviewed
Normalized value: suggested_human_authorship_and_ai_use_declaration
Original evidence
Evidence 1Se sugiere que, en cada entrega de tareas, trabajos u otras actividades académicas, se incluya el apartado denominado: "Declaración de autoría humana y uso de tecnologías digitales emergentes como la IA Generativa".
Localized display only
The page suggests including a human authorship and generative AI use declaration section in each assignment, work, or other academic activity submission.
Other
UdeC describes [genIA] as a transversal interdisciplinary AI collaboration program that articulates, orients, and makes visible how AI is learned, discussed, developed, and used responsibly in university life and in relation to society.
Review: Agent reviewed
Normalized value: transversal_responsible_ai_collaboration_program
Original evidence
Evidence 1El programa interdisciplinario de colaboración en Inteligencia Artificial [genIA] es una comunidad transversal de la Universidad de Concepción que articula, orienta y visibiliza cómo la inteligencia artificial se aprende, se discute, se desarrolla y se usa de manera responsable en la vida universitaria y en relación con la sociedad.
Localized display only
The page describes [genIA] as a transversal Universidad de Concepcion community that articulates how AI is learned, discussed, developed, and used responsibly in university life and society.
Teaching
[genIA] offers formative spaces for the UdeC university community, including basic and intermediate workshops on generative AI tools in teaching with objectives covering ethics, academic integrity, advanced tool use, and educational-material design.
Review: Agent reviewed
Normalized value: genia_generative_ai_teaching_training
Original evidence
Evidence 1Este taller está dirigido a docentes sin conocimientos previos en inteligencia artificial generativa. Su propósito es introducir el uso cotidiano de estas tecnologías, resguardando la ética y la privacidad.
Localized display only
The basic workshop is for teachers without prior generative AI knowledge and introduces everyday use while safeguarding ethics and privacy.
Original evidence
Evidence 2Aplicar herramientas avanzadas de IAG para la optimización de la labor docente. Temas: Gestión avanzada de información, creación visual y representación del conocimiento, y diseño práctico de materiales educativos interactivos.
Localized display only
The intermediate course objective is to apply advanced generative AI tools to optimize teaching work, including information management and educational material design.
Security Review
The [genIA] technology line says the university community incorporates ethical impact evaluation to review proportionality, transparency, and risks before any AI deployment.
Review: Agent reviewed
Normalized value: ethical_impact_evaluation_before_ai_deployment
Original evidence
Evidence 1Evaluar riesgos, transparencia y proporcionalidad antes de cualquier despliegue de IA.
Localized display only
Evaluate risks, transparency, and proportionality before any AI deployment.
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
5 source attribution
[genIA] UdeC - Inicio
genia.udec.cl
Etica | [genIA] UdeC
genia.udec.cl
Formacion | [genIA] UdeC
genia.udec.cl
Tecnologia | [genIA] UdeC
genia.udec.cl
Universidad de Concepcion presenta Programa [genIA] que promueve un uso inclusivo y responsable de la Inteligencia Artificial
noticias.udec.cl
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.