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) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Pontificia Universidad Católica de Chile (UC) has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Pontificia Universidad Católica de Chile (UC) has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Pontificia Universidad Católica de Chile (UC) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Pontificia Universidad Católica de Chile (UC) has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Pontificia Universidad Católica de Chile (UC) has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Pontificia Universidad Católica de Chile (UC) has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Pontificia Universidad Católica de Chile (UC) has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Pontificia Universidad Católica de Chile (UC) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
Pontificia Universidad Católica de Chile (UC)
6 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: {"tool":"ayudantia","rawToolName":"AyudantIA","description":"UC's institutional course-AI-tutor project, with teacher-created and validated agents using course content.","howToObtain":"Available through participating UC courses with an AyudantIA agent.","costToUser":"Not specified.","availability":"conditionally_allowed","endorsementType":"not_specified"}
原始证据
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.
本地化显示 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.
Privacy
Normalized value: avoid entering student personal or sensitive data into AI tools
原始证据
Evidence 1Promueve la protección de datos personales evitando alimentar a la IA con nombres, calificaciones o cualquier otra información privada o sensible.
本地化显示 only
The guidance says to protect personal data by avoiding feeding AI with names, grades, or private/sensitive information.
Academic Integrity
Normalized value: unauthorized AI use is an academic-integrity issue when course rules disallow it
原始证据
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.
本地化显示 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
Normalized value: avoid AI detection tools due to reliability concerns
原始证据
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.
本地化显示 only
The guidance recommends avoiding AI detection tools because reliability has not been demonstrated and false positives can have major impact.
Teaching
Normalized value: course-level AI limits should be published in Canvas
原始证据
Evidence 1Registrar y publicar en Canvas todos los acuerdos y límites específicos y disciplinares respecto al uso de sistemas y aplicaciones de Inteligencia Artificial.
本地化显示 only
The UC guidance says to register and publish in Canvas all course or disciplinary AI-use agreements and limits.
Teaching
Normalized value: teaching guidance framework
原始证据
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
本地化显示 only
UC recognizes AI's potential for deep learning and says AI-supported teaching should address ethical considerations, integrity, inclusion, and data security/privacy.
0 machine or needs-review claim
3 source attribution
uc.cl
docencia.ia.uc.cl
docencia.ia.uc.cl