Policy presence
Universidad Autónoma de Madrid has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Madrid, Spain
Universidad Autónoma de Madrid
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
Universidad Autónoma de Madrid has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Universidad Autónoma de Madrid has 3 source-backed public claims for coursework; deterministic analysis status: allowed.
Exams
Universidad Autónoma de Madrid has 3 source-backed public claims for exams; deterministic analysis status: allowed.
Privacy and data entry
Universidad Autónoma de Madrid has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Universidad Autónoma de Madrid has 1 source-backed public claim for academic integrity; deterministic analysis status: allowed.
Approved tools
Universidad Autónoma de Madrid has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Universidad Autónoma de Madrid has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Universidad Autónoma de Madrid has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
4 reviewed evidence-backed public claim
Teaching
UAM provides a basic guide for teachers and students with recommendations for appropriate use of generative AI in university education.
Review: Agent reviewed
Normalized value: public generative AI guidance for teachers and students
Original evidence
Evidence 1La UAM quiere ofrecer a sus docentes y estudiantes una breve guía centrada en recomendaciones para un uso adecuado de la IAGen (Inteligencia Artificial Generativa), compatible con la educación superior universitaria.
Localized display only
UAM says the guide is for teachers and students and focuses on recommendations for appropriate use of generative AI in university higher education.
Ai Tool Treatment
UAM's guide frames generative AI recommendations as suggestions that do not replace the capacity, creativity, or autonomous work of teachers and students, and are not sufficient by themselves for class preparation or assessment tasks.
Review: Agent reviewed
Normalized value: generative AI is supplemental and not a substitute for autonomous work
Original evidence
Evidence 1Los usos y recomendaciones que hacemos a continuación son sugerencias que en ningún caso pueden sustituir la capacidad, creatividad y trabajo autónomo de docentes y estudiantes, ni constituir en sí mismas prácticas suficientes para la preparación de clases o para completar pruebas de evaluación.
Localized display only
The guide says its uses and recommendations are suggestions, and do not replace autonomous work or suffice by themselves for classes or assessment.
Privacy
UAM's guide recommends that students avoid providing generative AI tools with personal or sensitive information that could be used to train or feed the tool.
Review: Agent reviewed
Normalized value: avoid providing personal or sensitive information to generative AI tools
Original evidence
Evidence 1Evita proporcionar a la IAGen información personal o sensible, que le sirva para aprender y retroalimentar su ingente caudal de información con datos confidenciales.
Localized display only
The guide recommends avoiding personal or sensitive information that could feed generative AI systems with confidential data.
Academic Integrity
For graded work, UAM's guide recommends that teachers specify which tools are permitted and ask students to reference any assistive technologies they used.
Review: Agent reviewed
Normalized value: teachers should specify permitted AI tools and students should disclose AI use in graded work
Original evidence
Evidence 1Especifica con claridad en cada prueba o ejercicio calificable las herramientas cuyo uso está permitido, y pide al estudiantado que haga referencia a las tecnologías de ayuda que haya podido emplear, al igual que menciona sus fuentes de información, y que consulte al profesorado en caso de duda.
Localized display only
The guide recommends clearly specifying permitted tools for graded tasks and asking students to reference assistive technologies used.
Candidate claims
0 machine or needs-review claim
Official sources
1 source attribution
Guía básica sobre el uso de la Inteligencia Artificial para docentes y estudiantes
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