Trieste, Italy

University of Trieste

Last checkedMay 19, 2026Last changedMay 19, 2026Review: Agent reviewedConfidence90%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources2Source languageen, itPublic JSON/api/public/v1/universities/university-of-trieste.json

Coverage score65/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence71%

Policy presence

University of Trieste has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence66%Evidence1Sources1

Claim claim-units-disu-ai-teaching-tools-2026

AI disclosure

University of Trieste has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Claim claim-units-syllabus-llm-declaration-2025

Coursework

No source-backed public claim about coursework AI use is present in this profile.

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

University of Trieste has 3 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence72%Evidence3Sources2

Claim claim-units-syllabus-llm-declaration-2025 Claim claim-units-syllabus-oral-verification-2025 Claim claim-units-disu-ai-teaching-tools-2026

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

University of Trieste has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence75%Evidence2Sources1

Claim claim-units-syllabus-llm-declaration-2025 Claim claim-units-syllabus-oral-verification-2025

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

University of Trieste has 2 source-backed public claims for named ai services; deterministic analysis status: required.

RequiredMachine candidateConfidence71%Evidence2Sources2

Claim claim-units-syllabus-llm-declaration-2025 Claim claim-units-disu-ai-teaching-tools-2026

Teaching guidance

University of Trieste has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence66%Evidence1Sources1

Claim claim-units-disu-ai-teaching-tools-2026

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

University of Trieste has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence66%Evidence1Sources1

Claim claim-units-disu-ai-teaching-tools-2026

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

3 reviewed evidence-backed public claim

Normalized value: course_level_llm_use_declaration_required

Last checked: May 19, 2026
Last changed: May 19, 2026

Original evidence

Evidence 1

In any type of content produced by the student for admission to or participation in an exam (projects, reports, exercises, tests), the use of Large Language Model tools (such as ChatGPT and the like) must be explicitly declared. This requirement must be met even in the case of partial use.
Source: PROGRAMMAZIONE [160IN] - LT Electronic and Computer Engineering

Source language: English (en)
Snapshot hash: 92936f61a1f79db887c10ca2cc5e1d5c6b37aacc20434cd9393b74e82363b50d
Retrieved: May 19, 2026
Evidence locator: Verification of learning

Normalized value: course_level_oral_contribution_check

Last checked: May 19, 2026
Last changed: May 19, 2026

Original evidence

Evidence 1

Regardless of the method of assessment, the teacher reserves the right to further investigate the student's actual contribution with an oral exam for any type of content produced.
Source: PROGRAMMAZIONE [160IN] - LT Electronic and Computer Engineering

Source language: English (en)
Snapshot hash: 92936f61a1f79db887c10ca2cc5e1d5c6b37aacc20434cd9393b74e82363b50d
Retrieved: May 19, 2026
Evidence locator: Verification of learning

Normalized value: departmental_ai_teaching_tool_guidance

Last checked: May 19, 2026
Last changed: May 19, 2026

Original evidence

Evidence 1

Per la programmazione didattica esistono diversi strumenti di intelligenza artificiale utili alla predisposizione di unita di apprendimento, lezioni, verifiche e materiali. ChatGPT Consente di progettare la programmazione didattica, generare verifiche, rubriche di valutazione e quiz adattare i contenuti per BES/DSA.
Source: Intelligenza Artificiale (IA) - Dipartimento di Studi Umanistici

Localized display only

For teaching planning, the page describes AI tools as useful for preparing learning units, lessons, tests, and materials, and says ChatGPT can generate tests, rubrics, quizzes, and adapt content.

Source language: it
Snapshot hash: f8c0f747352005bb5b8f46519c07a03ca145a0014b9028c0c2ce0c7c10c3b379
Retrieved: May 19, 2026
Evidence locator: Programmazione didattica

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Intelligenza Artificiale (IA) - Dipartimento di Studi Umanistici

disu.units.it

Source URL: https://disu.units.it/it/servizi-strumenti/servizi/Intelligenza-Artificiale
Snapshot hash: f8c0f747352005bb5b8f46519c07a03ca145a0014b9028c0c2ce0c7c10c3b379

PROGRAMMAZIONE [160IN] - LT Electronic and Computer Engineering

lauree.units.it

Source URL: https://lauree.units.it/en/0320106200800001/students-area/taught-courses/2025/119969-1/2025/3/10783/2025/13474
Snapshot hash: 92936f61a1f79db887c10ca2cc5e1d5c6b37aacc20434cd9393b74e82363b50d

Last checkedMay 19, 2026Last changedMay 19, 2026Open change log

Open contribution paths Review workflow

Back to universities

University of Trieste

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

For the UniTS 2025/2026 PROGRAMMAZIONE [160IN] course, students must explicitly declare any use of Large Language Model tools such as ChatGPT in exam-related content, including partial use.

For the UniTS 2025/2026 PROGRAMMAZIONE [160IN] course, the teacher reserves the right to use an oral exam to further investigate a student's actual contribution to any produced content.

The University of Trieste Department of Humanities page on AI describes several AI tools as useful for preparing learning units, lessons, assessments, and teaching materials, and says ChatGPT can support lesson planning, tests, rubrics, quizzes, and BES/DSA content adaptation.

Candidate claims

Official sources

Intelligenza Artificiale (IA) - Dipartimento di Studi Umanistici

PROGRAMMAZIONE [160IN] - LT Electronic and Computer Engineering

Change log

Corrections