ai_tool_treatment
USJ's AI guiding principles advise users to systematically verify data and information sources provided by generative AI.
Change log
Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Current public record freshness and review state.
Saint Joseph University of Beirut (USJ) currently has 6 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 17, 2026. No tracker diff rows are recorded in the latest public release.
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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Semantic classification for this release diff.
Unified tracker diff generated from the previous and current public release snapshots.
No tracker claim/evidence/source changes are recorded for this university in the latest public release.
6 claim records
USJ's AI guiding principles advise users to systematically verify data and information sources provided by generative AI.
USJ's ChatGPT-3 guidance says using ChatGPT is not necessarily an academic-integrity violation, but unauthorized use to create content submitted as one's own is considered plagiarism and a violation of academic-integrity policy.
USJ's CINIA page presents guiding principles intended to support effective, responsible, and ethical use of artificial intelligence in higher education teaching and learning, and says the principles were approved and validated by USJ's Committee for Digital and Artificial Intelligence Strategic Orientation.
USJ's AI guiding principles frame academic integrity as appropriately incorporating AI-altered or manipulated digital content and citing it accordingly.
USJ's CINIA guidance warns that free AI tools may carry privacy-related risks and should be used with awareness of secure and responsible-use considerations.
USJ's CINIA training catalog includes student training on proper use of AI tools, with ethical questions such as data confidentiality, AI-error responsibility, and possible discrimination from biased training data.
4 source attributions
official_guidance Tracker checked at May 17, 2026, 1:25 PM
official_guidance Tracker checked at May 17, 2026, 1:25 PM
official_guidance Tracker checked at May 17, 2026, 1:26 PM
official_guidance Tracker checked at May 17, 2026, 1:25 PM