Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Florianópolis, Brazil
Universidade Federal de Santa Catarina
Universidade Federal de Santa Catarina has 4 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
Universidade Federal de Santa Catarina AI policy short answer
v1 public contract
Universidade Federal de Santa Catarina has 4 source-backed AI policy claims from 1 official source attribution, including 4 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 Santa Catarina is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universidade Federal de Santa Catarina as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 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/universidade-federal-de-santa-catarina.json. The entity-level confidence is 95%. 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.
- 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 Santa Catarina has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Universidade Federal de Santa Catarina has 4 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Universidade Federal de Santa Catarina has 4 source-backed public claims for exams; deterministic analysis status: blocked.
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 Santa Catarina has 4 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Universidade Federal de Santa Catarina 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
Universidade Federal de Santa Catarina has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universidade Federal de Santa Catarina has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
Academic Integrity
UFSC's resolution treats presentation of plagiarized work generated by generative artificial intelligence or equivalent technology as 'plagio por uso de inteligencia artificial' for purposes of characterization, investigation, and sanction.
Review: Agent reviewed
Normalized value: plagiarized generative-AI content is an AI-use plagiarism category
Original evidence
Evidence 1Para fins de caracterizacao, apuracao e sancao, devem ser considerados os seguintes tipos de plagio: ... VII - plagio por uso de inteligencia artificial - apresentacao de obra com conteudo plagiado, gerado por ferramenta de inteligencia artificial generativa ou tecnologia equivalente.
Localized display only
For characterization, investigation, and sanction, the resolution lists AI-use plagiarism as presenting a work with plagiarized content generated by a generative AI tool or equivalent technology.
Academic Integrity
UFSC's resolution characterizes as academic misconduct the improper presentation of a work made wholly or partly with generative AI or equivalent technology when original authorship is required or such tools are expressly prohibited, and also characterizes nondisclosure of generative AI use as misconduct where disclosure is expressly required.
Review: Agent reviewed
Normalized value: AI-generated work and nondisclosure may be misconduct in expressly defined circumstances
Original evidence
Evidence 1XI - apresentacao indevida de obra gerada por inteligencia artificial generativa - apresentar obra elaborada total ou parcialmente por meio de ferramenta de inteligencia artificial generativa, ou tecnologia equivalente, nos casos em que seja exigida elaboracao propria ou em que o uso dessas ferramentas seja expressamente vedado; e XII - omissao do uso de inteligencia artificial generativa - deixar de informar o uso de ferramentas de inteligencia artificial generativa, ou tecnologia equivalente, na elaboracao de obra, nos casos em que essa informacao seja expressamente exigida.
Localized display only
The resolution lists improper presentation of generative-AI work where original work is required or tools are expressly prohibited, and omission of generative-AI use where disclosure is expressly required.
Academic Integrity
UFSC's Normative Resolution 217/2025/CUn covers plagiarism and academic misconduct in literary, technical, artistic, and scientific works produced within UFSC and applies to cases involving students, faculty, technical-administrative staff, visiting or invited researchers, scholarship holders, interns, volunteers, and others with a formal university link.
Review: Agent reviewed
Normalized value: formal academic integrity resolution applies to UFSC-affiliated people and covered works
Original evidence
Evidence 1Esta resolucao normativa tem por finalidade a caracterizacao, a definicao de niveis de ocorrencia e a orientacao quanto aos procedimentos de apuracao e de aplicacao de sancoes relacionados a plagio e ma conduta academica em obras literarias, tecnicas, artisticas e cientificas produzidas no ambito da UFSC. As normas dispostas nesta resolucao normativa aplicam-se aos casos de plagio e ma conduta academica praticados por discentes, servidores docentes e tecnico-administrativos em educacao, pesquisadores visitantes ou convidados, bolsistas, estagiarios, voluntarios e outras pessoas com vinculo formal com a Universidade.
Localized display only
The resolution covers characterization, occurrence levels, investigation procedures, and sanctions for plagiarism and academic misconduct in UFSC works, and applies to students, staff, researchers, scholarship holders, interns, volunteers, and others with a formal university link.
Academic Integrity
UFSC's resolution states that suspected plagiarism or academic misconduct will be investigated through inquiry or administrative process with adversarial procedure and full defense, and that UFSC must provide automated plagiarism-detection tools for the investigation commission.
Review: Agent reviewed
Normalized value: suspected cases use administrative investigation with defense rights and UFSC-provided automated plagiarism detection tools
Original evidence
Evidence 1As suspeitas de plagio e ma conduta academica serao apuradas por meio de sindicancia ou processo administrativo, nos termos desta resolucao normativa e da legislacao aplicavel, garantindo-se o contraditorio e a ampla defesa. ... A UFSC devera fornecer ferramenta(s) automatizada(s) de deteccao de plagio a serem utilizadas pela comissao de apuracao para caracterizacao e definicao do nivel de ocorrencia do plagio.
Localized display only
Suspected plagiarism and academic misconduct will be investigated through inquiry or administrative process with full defense rights; UFSC must provide automated plagiarism-detection tools for the investigation commission.
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
Resolucao Normativa No. 217/2025/CUn, de 2 de dezembro de 2025
conselhouniversitario.paginas.ufsc.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.