Policy presence
Federal University of Minas Gerais (UFMG) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Belo Horizonte, Brazil
Federal University of Minas Gerais (UFMG)
Federal University of Minas Gerais (UFMG) has 5 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
Federal University of Minas Gerais (UFMG) AI policy short answer
v1 public contract
Federal University of Minas Gerais (UFMG) has 5 source-backed AI policy claims from 1 official source attribution, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 17, 2026. Discovery context: Federal University of Minas Gerais (UFMG) is listed as QS 2026 rank =595.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Federal University of Minas Gerais (UFMG) as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 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/federal-university-of-minas-gerais-ufmg.json. The entity-level confidence is 91%. 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 Source status claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current 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
Federal University of Minas Gerais (UFMG) has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Federal University of Minas Gerais (UFMG) has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Federal University of Minas Gerais (UFMG) has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Federal University of Minas Gerais (UFMG) has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
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
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
Federal University of Minas Gerais (UFMG) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Federal University of Minas Gerais (UFMG) 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.
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
5 reviewed evidence-backed public claim
Source Status
UFMG has an official recommendations document on the use of artificial intelligence tools in academic activities.
Review: Agent reviewed
Normalized value: official_ai_recommendations_document
Original evidence
Evidence 1Este documento apresenta um primeiro esforço da Universidade Federal de Minas Gerais em refletir, institucionalmente, sobre esse contexto.
Localized display only
The document says it is UFMG's first institutional effort to reflect on this context.
Teaching
UFMG's AI recommendations suggest that course syllabi should be transparent about what AI-tool use is authorized and what is not permitted.
Review: Agent reviewed
Normalized value: syllabi_ai_use_transparency_recommended
Original evidence
Evidence 1Recomendar que ementas de disciplinas sejam transparentes na explicitação do que é autorizado e do que não é permitido em termos de uso de ferramentas de IA.
Localized display only
The recommendations call for syllabi to be transparent about what AI-tool use is authorized and what is not permitted.
Research
For research, UFMG's AI recommendations include identifying in articles and technical reports the stages of the research process carried out with AI assistance.
Review: Agent reviewed
Normalized value: research_ai_assistance_disclosure_recommended
Original evidence
Evidence 1Identificar em artigos e relatórios técnicos as etapas do processo de pesquisa realizadas com auxílio de IA.
Localized display only
The document recommends identifying in articles and technical reports the stages of research carried out with AI assistance.
Academic Integrity
UFMG's recommendations state that students using AI tools should ensure submitted work reflects their own analysis and intellectual creation, not a full or partial copy of AI-generated output.
Review: Agent reviewed
Normalized value: student_ai_output_copying_caution
Original evidence
Evidence 1O aluno, ao fazer uso de ferramentas de IA, deve tomar cuidado e garantir que o resultado entregue seja fruto de seu próprio trabalho, decorrente de sua análise e criação intelectual, e não uma mera cópia integral ou parcial daquilo que foi gerado pelas ferramentas empregadas.
Localized display only
Students using AI tools are told to ensure submitted work is their own analysis and intellectual creation rather than a full or partial copy of AI-generated output.
Teaching
UFMG's AI recommendations include seminars, events, training, and AI-literacy activities for UFMG audiences.
Review: Agent reviewed
Normalized value: ai_training_and_literacy_recommended
Original evidence
Evidence 1Realizar seminários, eventos e treinamentos para os diversos públicos da UFMG em torno do uso de IA no espaço acadêmico. Estimular atividades de letramento em IA para divulgação ampla na UFMG.
Localized display only
The document recommends seminars, events, training, and AI-literacy activities for UFMG audiences.
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
Recomendações para o Uso de Ferramentas de Inteligência Artificial nas Atividades Acadêmicas na UFMG
ufmg.br
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.