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.
Brescia, Italy
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.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
University of Brescia has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
University of Brescia has 2 source-backed public claims for exams; deterministic analysis status: restricted.
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.
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
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.
University of Brescia has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
University of Brescia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
2 reviewed evidence-backed public claim
Teaching
Normalized value: ai_training_course_for_public_administration_mentions_llms_chatgpt_copilot_ethics
Original evidence
Evidence 1L'Universita degli Studi di Brescia, attraverso la School of Management and Advanced Education (SMAE) del Dipartimento di Economia e Management, annuncia l'avvio della prima edizione del Corso di Alta Formazione in Intelligenza Artificiale per la Pubblica Amministrazione. La formazione, della durata complessiva di 23 ore, si svolgera in modalita mista e prevede lezioni su applicazioni pratiche dei sistemi di IA e dei Large Language Models (come ChatGPT e Copilot), profili normativi ed etici, e strumenti di innovazione organizzativa.
Localized display only
UNIBS announced an AI course for public administration covering practical AI systems, LLMs such as ChatGPT and Copilot, normative and ethical profiles, and organizational innovation.
Teaching
Normalized value: faculty_training_mentions_generative_ai_teaching_assessment_prompting
Original evidence
Evidence 1Educare con l'IA generativa: tra innovazione didattica e responsabilita pedagogica. Il seminario esplora le implicazioni pedagogiche, epistemologiche ed etiche dell'intelligenza artificiale generativa nel contesto universitario. L'incontro propone infine strategie per un'integrazione didattica critica e consapevole dell'IA, con esempi di applicazione alla progettazione didattica, alla valutazione e all'uso del prompting come supporto ai processi di apprendimento.
Localized display only
A faculty-training session addresses generative AI in university teaching, including ethical implications, critical integration, assessment, and prompting.
0 machine or needs-review claim
2 source attribution
unibs.it
unibs.it