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 has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Alma Mater Studiorum - Università di Bologna has 4 source-backed public claims for ai disclosure; deterministic analysis status: required.
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Alma Mater Studiorum - Università di Bologna has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Alma Mater Studiorum - Università di Bologna has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Alma Mater Studiorum - Università di Bologna has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.
Alma Mater Studiorum - Università di Bologna has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Alma Mater Studiorum - Università di Bologna has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Alma Mater Studiorum - Università di Bologna has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
7 reviewed evidence-backed public claim
Privacy
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
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
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
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
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
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
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.
0 machine or needs-review claim
4 source attribution
unibo.it
unibo.it
unibo.it
unibo.it