Policy presence
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bologna, Italy
Alma Mater Studiorum - Università di Bologna
Alma Mater Studiorum - Università di Bologna is listed as QS 2026 rank =138. Alma Mater Studiorum - Università di Bologna has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Alma Mater Studiorum - Università di Bologna is listed as QS 2026 rank =138. Alma Mater Studiorum - Università di Bologna has 7 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Alma Mater Studiorum - Università di Bologna as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/alma-mater-studiorum-universita-di-bologna.json. The entity-level confidence is 94%. 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 Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching 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.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security 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
Alma Mater Studiorum - Università di Bologna has 4 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Alma Mater Studiorum - Università di Bologna has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Alma Mater Studiorum - Università di Bologna has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Alma Mater Studiorum - Università di Bologna has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.
Named AI services
Alma Mater Studiorum - Università di Bologna has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Alma Mater Studiorum - Università di Bologna has 4 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
7 reviewed evidence-backed public claim
Privacy
University of Bologna community members covered by the teaching and research GenAI policy are responsible for not entering third-party personal data or confidential/protected information into online GenAI systems unless an appropriate legal basis, consent, or confidentiality assurance exists.
Review: Agent reviewed
Normalized value: Personal data and confidential information restricted in online GenAI systems
Original evidence
Evidence 1Refraining from providing online GenAI systems with personal data of third parties, including special categories of data such as health or genetic data, unless the data subject gives his or her consent or another suitable legal basis for the processing exists. Refraining from uploading confidential information into GenAI systems, including protected or confidential data
Ai Tool Treatment
The University of Bologna policy treats GenAI as permitted support for teaching, learning, research and knowledge valorisation, while stating that GenAI should serve people and not replace creative and intellectual activity.
Review: Agent reviewed
Normalized value: GenAI permitted as responsible support, not replacement
Original evidence
Evidence 1The Policy guidelines aim to ensure that GenAI is used in a responsible and conscious way; to help improve the quality of teaching, learning and research also in collaborations with society and businesses; at the service of the people and not to replace their creative and intellectual activity.
Academic Integrity
University of Bologna citation guidance says substantial GenAI contributions in teaching and research should be acknowledged and declared, with the statement identifying tools or models, date or period of use, modes of use, and where the tool was used.
Review: Agent reviewed
Normalized value: Substantial GenAI use should be declared with tool, timing, use mode, and location details
Original evidence
Evidence 1it is crucial that each and every contribution deriving from substantial use of GenAI is acknowledged and declared... a complete GenAI statement should include the GenAI tools or models used and their version, the date or period of use, specific modes of use, and specific chapters, sections or subsections where the tool was used.
Ai Tool Treatment
The University of Bologna policy says it considers GenAI use permitted and does not adopt measures aimed at prohibiting or monitoring its use, relying on existing university values and regulations for responsible conduct.
Review: Agent reviewed
Normalized value: No general prohibition or monitoring measure stated in policy
Original evidence
Evidence 1the University considers that the use of GenAI should be permitted and does not adopt measures aimed at prohibiting or monitoring its use, believing that adherence to the values and principles of the Statute, the Code of Ethics and Conduct, and the Regulations on research integrity are sufficient
Academic Integrity
Under the University of Bologna GenAI policy, students are responsible for checking permitted uses, following teaching staff instructions, verifying GenAI output, acknowledging original sources, and being able to explain work produced with GenAI support.
Review: Agent reviewed
Normalized value: Students responsible for permitted-use checks, verification, source acknowledgement, and explanation
Original evidence
Evidence 1The responsibilities of students include checking the permitted uses of GenAI and using GenAI as instructed by the teaching staff and teaching assistants... using GenAI output only after checking its content and provided that the original source is acknowledged... being able to illustrate their work generated with the support of GenAI
Teaching
For GenAI use in assessed student work such as dissertation structure, dissertation writing, or programming code, University of Bologna guidance says the uses comply with policy principles only with active supervision, critical thinking, accountability for results, citation where required, and checking with the teacher whether the use is permitted.
Review: Agent reviewed
Normalized value: Assessed-work GenAI use conditioned on supervision, accountability, citation, and teacher permission checks
Original evidence
Evidence 1It complies with the University Policy principles, provided you implement active supervision and critical thinking and are able to account for the generated results. It requires citing the use of GenAI. It is recommended that you check with your teacher whether this use case is permitted and follow their instructions.
Teaching
For GenAI use in student learning, University of Bologna guidance says researching/explaining concepts, querying with examples, and summarising books or articles comply with policy principles and generally do not require citation, while students should check generated information, references and sources for accuracy.
Review: Agent reviewed
Normalized value: Learning uses comply with policy principles with source and accuracy checks
Original evidence
Evidence 1Researching and explaining concepts, theories, topics. It complies with the University Policy principles. It does not require citing the use of GenAI. Check the generated information for accuracy. Closely check all references to cited sources. Check the output relating to non-established knowledge for reliability. Check the sources used for accuracy also by means of specialist search engines.
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
4 source attribution
Citation and transparency
unibo.it
University Policy for an Ethical and Responsible Use of Generative Artificial Intelligence in Teaching and Research
unibo.it
Use cases of generative artificial intelligence in preparing student work to be assessed
unibo.it
Use cases of generative artificial intelligence in student learning
unibo.it
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.