source_status
UFRJ publicly announced preliminary documents on academic integrity and AI-use recommendations for the academic community.
Open, evidence-backed AI policy records for public reuse.
Change log
Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.
Current public record freshness and review state.
Universidade Federal do Rio de Janeiro currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 16, 2026.
This tracker 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.
Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.
Inserted lines represent current public claim and evidence records in the source-backed dataset.
5 claim records
UFRJ publicly announced preliminary documents on academic integrity and AI-use recommendations for the academic community.
UFRJ states that delegating monographs, dissertations, and theses to generative AI systems is considered academic dishonesty under the proposed integrity guidance.
UFRJ guidance allows generative AI to assist preparation and development of academic work, while keeping final responsibility with human authors.
CRIA/UFRJ recommends that instructors define acceptable and unacceptable generative AI uses in their course teaching plans.
CRIA/UFRJ recommends warning researchers about risks of uploading or processing confidential or proprietary third-party data through generative AI tools.
2 source attributions
official_pdf checked May 16, 2026
official_guidance checked May 16, 2026