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
Universidad Autónoma de Madrid is listed as QS 2026 rank 206. Universidad Autónoma de Madrid has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Universidad Autónoma de Madrid is listed as QS 2026 rank 206. Universidad Autónoma de Madrid has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidad Autónoma de Madrid as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-autonoma-de-madrid.json. The entity-level confidence is 92%. 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 Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current 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 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.
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
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
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
1 source attribution
Guía básica sobre el uso de la Inteligencia Artificial para docentes y estudiantes
uam.es
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.