Policy presence
Universidade Federal de São Paulo has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
São Paulo, Brazil
Universidade Federal de São Paulo
Universidade Federal de São Paulo has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.
Universidade Federal de São Paulo AI policy short answer
v1 public contract
Universidade Federal de São Paulo has 5 source-backed AI policy claims from 3 official source attributions, 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 20, 2026. Discovery context: Universidade Federal de São Paulo is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidade Federal de São Paulo as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidade-federal-de-sao-paulo.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 Academic integrity claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution 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
Universidade Federal de São Paulo has 4 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Universidade Federal de São Paulo has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Universidade Federal de São Paulo has 3 source-backed public claims for exams; deterministic analysis status: required.
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
Universidade Federal de São Paulo has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Universidade Federal de São Paulo has 1 source-backed public claim for approved tools; deterministic analysis status: required.
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
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
Universidade Federal de São Paulo has 4 source-backed public claims 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
Academic Integrity
For final documents submitted for evaluation at Unifesp or sent for publication, the generative-AI guidelines require an explicit declaration about the use of generative AI tools, including how the tool was used.
Review: Agent reviewed
Normalized value: Explicit IAG-use declaration required for final evaluated or publication-submitted documents.
Original evidence
Evidence 1Como parte das diretrizes, o documento estabelece a obrigatoriedade de incluir uma declaração explícita sobre o uso de ferramentas de Inteligência Artificial Generativa em todos os documentos finais submetidos à avaliação na Unifesp ou encaminhados para publicação.
Localized display only
The guidelines establish a requirement to include an explicit declaration about use of generative AI tools in all final documents submitted for evaluation at Unifesp or sent for publication.
Research
Unifesp's Resolution 17/2025 establishes guidelines for use of generative artificial intelligence in research and postgraduate work, with the stated aim of responsible and transparent use in scientific and academic production.
Review: Agent reviewed
Normalized value: Resolution 17/2025 covers generative AI use in Unifesp research and postgraduate work.
Original evidence
Evidence 1Foi aprovada no Conselho de Pós-Graduação e Pesquisa (CPGPq) da Unifesp a Resolução nº 17/2025, que estabelece as diretrizes para uso de Inteligência Artificial Generativa (IAG) na pesquisa e na pós-graduação da instituição.
Localized display only
Unifesp's Postgraduate and Research Council approved Resolution 17/2025, establishing guidelines for generative AI use in research and postgraduate work.
Academic Integrity
Unifesp states that researchers are responsible for critically reviewing texts, results, code, or images produced by generative-AI systems for correctness, coherence, originality, citation/reference compliance, and intellectual-property respect.
Review: Agent reviewed
Normalized value: Researchers retain critical review responsibility for IAG-generated outputs.
Original evidence
Evidence 1Caberá ao(à) pesquisador(a) revisar criticamente todos os textos, resultados, códigos ou imagens produzidos por sistemas de IAG, garantindo a correção, coerência e originalidade, atentando-se às normas de citação e referência, bem como ao respeito à propriedade intelectual.
Localized display only
Researchers are responsible for critically reviewing IAG-produced texts, results, code, or images for correctness, coherence, originality, citation/reference norms, and intellectual-property respect.
Academic Integrity
The EPE postgraduate chamber page asks students, in light of Resolution 17/2025, to sign the PROPGPQ AI-use declaration via Gov.br and include it in the SEI process for the Unifesp institutional repository.
Review: Agent reviewed
Normalized value: EPE page asks students to sign the AI-use declaration via Gov.br and include it in the SEI repository process.
Original evidence
Evidence 1Solicitamos que o documento seja assinado via Gov.br (tutorial aqui) e incluído no processo SEI do tipo PROPGPQ: Repositório Institucional Unifesp.
Localized display only
The page asks that the document be signed via Gov.br and included in the SEI process of type PROPGPQ: Unifesp Institutional Repository.
Research
The PPGRI page places the Unifesp generative-AI guidelines and IAG declaration alongside qualification, dissertation, and repository-deposit guidance for its postgraduate students.
Review: Agent reviewed
Normalized value: PPGRI links Unifesp IAG guidelines and declaration in its qualification/dissertation guidance page.
Original evidence
Evidence 1Diretrizes para uso de Inteligência Artificial Generativa na pesquisa e na pós-graduação – Unifesp; Declaração uso IAG; Fluxo para o depósito de teses e dissertações e demais produções bibliográficas apresentadas com finalidade de obtenção de títulos em programas de pós-graduação stricto sensu da Unifesp.
Localized display only
The PPGRI page links Unifesp generative-AI use guidelines, an IAG declaration, and repository-deposit flow documents for stricto sensu postgraduate outputs.
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
3 source attribution
Declaração sobre uso de IA
camarapg-epe.unifesp.br
Diretrizes qualificação e dissertação
ppgri.unifesp.br
Unifesp aprova diretrizes para uso de inteligência artificial generativa na pós-graduação e na pesquisa
portal.unifesp.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.