Policy presence
Pontificia Universidad Católica de Chile (UC) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Santiago, Chile
Pontificia Universidad Católica de Chile (UC)
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Pontificia Universidad Católica de Chile (UC) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Pontificia Universidad Católica de Chile (UC) has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Pontificia Universidad Católica de Chile (UC) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Pontificia Universidad Católica de Chile (UC) has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
Pontificia Universidad Católica de Chile (UC) has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Pontificia Universidad Católica de Chile (UC) has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Pontificia Universidad Católica de Chile (UC) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
5 reviewed evidence-backed public claim
Privacy
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.
Review: Agent reviewed
Normalized value: avoid entering student personal or sensitive data into AI tools
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.
Academic Integrity
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.
Review: Agent reviewed
Normalized value: unauthorized AI use is an academic-integrity issue when course rules disallow it
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.
Academic Integrity
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.
Review: Agent reviewed
Normalized value: avoid AI detection tools due to reliability concerns
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.
Teaching
UC guidance asks instructors to register and publish in Canvas the specific course or discipline agreements and limits for using AI systems and applications.
Review: Agent reviewed
Normalized value: course-level AI limits should be published in Canvas
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.
Teaching
UC's Docencia con IA guidance frames AI-supported teaching around deep learning, human dignity, inclusion, academic integrity, ethical responsibility, and data security/privacy.
Review: Agent reviewed
Normalized value: teaching guidance framework
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 datos
Localized 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.
Candidate claims
0 machine or needs-review claim
Official sources
2 source attribution
Docencia con IA
docencia.ia.uc.cl
Integridad Académica - Docencia con IA
docencia.ia.uc.cl