Course & Assignment Instructions
Assessment Instructions
Student guidance says to check assessment instructions: AI consultation may be allowed in some stages and not others, so communicate with the teacher about what is permitted.
Santiago, Chile Last checked
Pontificia Universidad Católica de Chile (UC)
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Pontificia Universidad Católica de Chile (UC)
Independent · Open access · Not an official university page
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Assessment & Exam AI Boundaries
Unauthorized Use and Integrity
The university describes unauthorized AI use in a course as an academic-integrity violation and fraud, comparable to asking a third party to complete work or an assessment.
AI Disclosure & Transparency
Mandatory Transparency
Library citation guidelines instruct students to state the AI tool name, version, and consultation date when referencing generative AI in academic work.
Personal & Sensitive Data Protection
Sensitive Data Prohibited
Instructors and students are prohibited from uploading personal, clinical, sensitive, or confidential records into generative AI tools without authorization; institutional licensing does not imply blanket data entry clearance.
Institutional Tools & Licensing
Platform & Discovery Tools
The retained excerpt describes virtual tutors available around the clock to answer questions, reinforce learning and offer personalized guidance.
Research Discovery & Thesis Rules
Data and Rule Guidance
Library guidance says not to upload personal, clinical, sensitive or confidential data without authorization and to check the rules of the relevant course, project, journal or institution.
More reviewed record topics
Academic Integrity Protocol & Appeals
30-Day Committee Protocol
Academic integrity protocol resolves allegations within a maximum of 30 working days through Faculty Integrity Committees; 3-day and 5-day interim triggers and automated detector claims remain an unverified policy gap.
Teaching Framework & Canvas Registry
Canvas Boundary Framework
The university teaching framework directs educators to register and publish all specific disciplinary boundaries and agreements regarding AI systems directly in Canvas, ensuring deep learning and ethical literacy.
Ethical Principles & Procurement
Ethical Principles Abstract
Institutional AI integration is governed by five foundational ethical principles (human-centricity, critical evaluation, transparency, justice/inclusion, and security/compliance); centralized procurement rules remain an unverified policy gap.
Before you submit
Do
- Review the assessment instructions and communicate with your teacher about what is permitted.
- Declare AI tool name, specific version, and consultation date according to library guidance.
Don’t
- Do not assume that institutional tool licensing or a free account grants coursework or examination authorization.
- Never upload personal, clinical, sensitive, confidential, or student records to AI tools without authorization.
Tool discovery records: scope pending review
Tool discovery information and cited sources are retained. Current account eligibility, cost, endorsement and assessment permission are not confirmed.
AI tools
Access conditions (discovery record)
The following discovery information is retained; currentness and complete eligibility remain unverified.
Discovery record and cited evidence
AyudantIA is listed for Pontificia Universidad Católica de Chile (UC) in an official university AI tools source.
Official source ↗1375e10a2bc45e1c03b74e2d0e70693da8170fc04702b2b228e0820959918203
Record updates
Updates to this site's reviewed record, not confirmation that the university changed its policy.
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Reviewed claims
6
Academic Integrity 2 reviewed claims
UC's academic-integrity guidance says instructors should clearly and transparently determine permitted and prohibited uses of generative AI, and treats unauthorized AI use in a course as an academic-integrity violation.
Reviewed
Last checked
Original evidence
Evidence 1Determina con claridad y transparencia las formas y usos permitidos y no permitidos de la IA... El uso no autorizado de herramientas de IA en el contexto de un curso, se considera una falta a la Integridad Académica.Localized display only
The page tells instructors to define permitted and prohibited AI uses; it says unauthorized AI use in a course is an academic-integrity violation.
Evidence locator: Recommendations and Si identificas un uso NO autorizado de IA
UC's academic-integrity guidance recommends avoiding generative-AI detection tools because their reliability has not been demonstrated and false positives can significantly affect students.
Reviewed
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Original evidence
Evidence 1Evita usar herramientas de detección de IA, dado que su confiabilidad no ha sido demostrada y un falso positivo puede generar un gran impacto.Localized display only
The guidance recommends avoiding AI detection tools because reliability has not been demonstrated and false positives can have major impact.
Evidence locator: Evita usar herramientas de detección de IA
Teaching 2 reviewed claims
UC guidance asks instructors to register and publish in Canvas the specific course or discipline agreements and limits for using AI systems and applications.
Reviewed
Last checked
Original evidence
Evidence 1Registrar y publicar en Canvas todos los acuerdos y límites específicos y disciplinares respecto al uso de sistemas y aplicaciones de Inteligencia Artificial.Localized display only
The UC guidance says to register and publish in Canvas all course or disciplinary AI-use agreements and limits.
Evidence locator: Acuerdos y límites
UC's Docencia con IA guidance frames AI-supported teaching around deep learning, human dignity, inclusion, academic integrity, ethical responsibility, and data security/privacy.
Reviewed
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Original evidence
Evidence 1reconocemos el potencial de la Inteligencia Artificial que puede aportar al logro de aprendizajes profundos... La labor docente con apoyo de Inteligencia Artificial debe asumir desafíos y consideraciones éticas... resguardando siempre la seguridad y privacidad de los datosLocalized display only
UC recognizes AI's potential for deep learning and says AI-supported teaching should address ethical considerations, integrity, inclusion, and data security/privacy.
Evidence locator: Marco para el Uso de Inteligencia Artificial en Docencia section
Privacy 1 reviewed claim
When instructors allow generative AI use, UC guidance tells them to promote personal-data protection by avoiding feeding AI tools names, grades, or other private or sensitive information.
Reviewed
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Original evidence
Evidence 1Promueve la protección de datos personales evitando alimentar a la IA con nombres, calificaciones o cualquier otra información privada o sensible.Localized display only
The guidance says to protect personal data by avoiding feeding AI with names, grades, or private/sensitive information.
Evidence locator: Protección de datos personales
AI tool use 1 reviewed claim
AyudantIA is listed for Pontificia Universidad Católica de Chile (UC) in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: not specified.
Reviewed
Last checked
Original evidence
Evidence 1AyudantIA is UC's institutional project: teachers create AI chatbot agents with course information and content, as 24/7 virtual tutors in a secure and teacher-validated environment. It is in implementation/pilot across participating UC courses and units.Localized display only
AyudantIA is UC's institutional project: teachers create AI chatbot agents with course information and content, as 24/7 virtual tutors in a secure and teacher-validated environment. It is in implementation/pilot across participating UC courses and units.
Official sources
3 official URLs; 3 source attributions and their captured versions retained.
AyudantIA: el innovador proyecto que busca integrar la IA a las clases en la UC | UC Chile
www.uc.cl
University official source
uc.cl
Hash and captured version
AyudantIA: el innovador proyecto que busca integrar la IA a las clases en la UC | UC Chile · 2026-07-16T00:26:43.896Z
Representation unspecified in this historical record; do not assume an original-file hash.
1375e10a2bc45e1c03b74e2d0e70693da8170fc04702b2b228e0820959918203
Hashes identify a captured version; they do not establish current policy or review approval.
Docencia con IA
docencia.ia.uc.cl
University official source
docencia.ia.uc.cl
Hash and captured version
Docencia con IA · 2026-05-14T12:27:21.000Z
Representation unspecified in this historical record; do not assume an original-file hash.
068e347c0a21b847123434685f8f0f8244120c356efad3a543ae84a457e2f8cb
Hashes identify a captured version; they do not establish current policy or review approval.
Integridad Académica - Docencia con IA
docencia.ia.uc.cl
University official source
docencia.ia.uc.cl
Hash and captured version
Integridad Académica - Docencia con IA · 2026-05-14T12:27:21.000Z
Representation unspecified in this historical record; do not assume an original-file hash.
6b02968d7e5093a0b5b915b982719eea8a097b6524ed7e340ae080ecb1e2f1e4
Hashes identify a captured version; they do not establish current policy or review approval.
Explore
Related university AI policy records
4 records
Record information, JSON & citation
Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.
- Claim review state
- agent_reviewed
- Analysis review state
- machine_candidate
- Record revision
- v6-qs101-120-presentation-20261028
- Dataset release
- public-release-20260924-002
- Correction published
- Student snapshot
- Not published
Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.
- Full normative 2026 AI integration PDF and comprehensive ethics PDF require institutional intranet sign-in; specific assessment category definitions and mandatory procurement thresholds remain unverified policy gaps.
- While Scopus AI and WoS Research Assistant are institutionally licensed for literature discovery, campus-wide generative AI permissions for postgraduate theses and research ethics (REB) protocols remain an unverified policy gap.
- Formal sanction outcome schedules and appeal procedures under UC Chile academic integrity protocol are not fully evidenced by the 30 working days case resolution excerpt.
Questions students ask
Questions students ask
Can I use AI for my coursework?
Student guidance says to check assessment instructions: AI consultation may be allowed in some stages and not others, so communicate with the teacher about what is permitted.
View evidence →Do I need to disclose AI use?
Library citation guidelines instruct students to state the AI tool name, version, and consultation date when referencing generative AI in academic work.
View evidence →Can I upload sensitive data?
Instructors and students are prohibited from uploading personal, clinical, sensitive, or confidential records into generative AI tools without authorization; institutional licensing does not imply blanket data entry clearance.
View evidence →Which tools can I access?
The retained excerpt describes virtual tutors available around the clock to answer questions, reinforce learning and offer personalized guidance.
View evidence →What are the examination rules?
The university describes unauthorized AI use in a course as an academic-integrity violation and fraud, comparable to asking a third party to complete work or an assessment.
View evidence →What rules apply to research and publication?
Library guidance says not to upload personal, clinical, sensitive or confidential data without authorization and to check the rules of the relevant course, project, journal or institution.
View evidence →What counts as academic misconduct?
Academic integrity protocol resolves allegations within a maximum of 30 working days through Faculty Integrity Committees; 3-day and 5-day interim triggers and automated detector claims remain an unverified policy gap.
View evidence →What guidance applies to teaching?
The university teaching framework directs educators to register and publish all specific disciplinary boundaries and agreements regarding AI systems directly in Canvas, ensuring deep learning and ethical literacy.
View evidence →What security and procurement requirements apply?
Institutional AI integration is governed by five foundational ethical principles (human-centricity, critical evaluation, transparency, justice/inclusion, and security/compliance); centralized procurement rules remain an unverified policy gap.
View evidence →