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University of Milan

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Révision: Révisé par un agentVersionpublic-release-20260523-001Texte de la politique0Récemment extraits6Hash de la source0Texte source0

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11 # University of Milan AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+procurement: For administrative activities, the University of Milan says its AI adoption follows AGID public-administration guidelines and uses a methodology that considers AI Act compliance, data quality, personal data protection and cybersecurity requirements.
5+Evidence (en, 4de0e77532b0): As a public university, Universita degli Studi di Milano... promotes the adoption of AI tools in compliance with AGID guidelines for AI adoption in Public Administration. The following categories of requirements are particularly taken into consideration in the analysis phase: AI Act compliance; data management and quality; personal data protection; cybersecurity, in compliance with AGID guidelines.
6+Tracker checked at: 2026-05-16T03:30:15.000Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+ai_tool_treatment: The University of Milan has an AI governance document intended to promote ethical, legally compliant and conscious use of AI tools, with annexed guidelines for teaching, research, third mission and administrative activities.
10+Evidence (en, 4984f8d32254): The goal of the document "Governing Artificial Intelligence within the University" is to promote an ethical, legally-compliant and conscious use of AI tools, by implementing the latest regulatory provisions on the subject, as well as best practices already adopted by many universities and research centres in Italy and abroad. The ten general principles stated in this document are accompanied by three Annexes containing specific guidelines for the use of AI in the areas of teaching, research and the third mission, and administrative activities.
11+Tracker checked at: 2026-05-16T03:30:01.000Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+academic_integrity: In educational settings, the University of Milan advises that students must explicitly declare AI use in assessed work and that teachers must explicitly declare AI use in educational activities.
15+Evidence (en, ae70cab65aca): For teachers: any use of AI tools in educational activities must be made explicit and declared, both regarding the specific tool used and the methods of use. For students: any use of AI tools in producing work subject to assessment must be made explicit and declared, specifying the methods of use and purposes.
16+Tracker checked at: 2026-05-16T03:30:01.000Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+teaching: For educational activities, the University of Milan permits AI-supported self-assessment when explicit, but does not permit delegating learning assessment to AI tools when the assessment contributes to the final exam grade.
20+Evidence (en, ae70cab65aca): It is never permitted to delegate any learning assessment activity to AI tools when such activity involves an assessment that contributes to the final exam grade. Self-assessment aimed at improving learning is instead permitted and promoted provided it is made explicit in the tools and methods of use.
21+Tracker checked at: 2026-05-16T03:30:01.000Z
1022 ## Newly extracted tracker claim
1123 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+privacy: For AI use in research, the University of Milan guidance emphasizes data protection, operation traceability and regulatory compliance during AI-supported data analysis, and cautions against entering sensitive information into AI systems.
25+Evidence (en, 96635ec635d3): In any case, data protection, operation traceability, and regulatory compliance must be guaranteed throughout the entire analysis process. The idea of respect then includes the need to correctly treat information entered into AI systems by respecting both privacy and data protection. Avoiding inserting particularly sensitive data into AI systems achieves both the objective of protecting the University's industrial secrets... and the rights and freedoms of people to whom any personal and sensitive data may refer.
26+Tracker checked at: 2026-05-16T03:30:01.000Z
1227 ## Newly extracted tracker claim
1328 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
29+research: For research, the University of Milan advises research staff to use AI while respecting responsibility, transparency, and respect, and says researchers remain fully responsible for results produced with AI tools.
30+Evidence (en, 96635ec635d3): This is why the University advises its research staff to learn about, exploit, and systematically implement the best existing tools while, at the same time, urging them to always do so while respecting three fundamental principles that must characterize the entire process of using these tools: responsibility, transparency, and respect. Throughout the entire research process... the researcher... must at all times understand that they are fully responsible for all results produced by the tools used, regardless of AI use or not.
31+Tracker checked at: 2026-05-16T03:30:01.000Z
1432 ## Source attribution added
1533 An official source attribution was added to the tracker record.
34+Source https://www.unimi.it/en/university/governance-and-strategy/strategic-guidelines/strategic-plan/artificial-intelligence-university-milan/governing-ai-within-university snapshot 4984f8d32254f04583dc00e665a76d5f9e5e0ac3233d3072b46454e97333945c
35+Tracker checked at: 2026-05-16T03:30:01.000Z
1636 ## Source attribution added
1737 An official source attribution was added to the tracker record.
38+Source https://www.unimi.it/sites/default/files/regolamenti/Allegato%201_decalogo%20AI%20EN.pdf snapshot ae70cab65aca777c86463823c16a273c6e19b98f36f983166354a6ea6d5b74df
39+Tracker checked at: 2026-05-16T03:30:01.000Z
1840 ## Source attribution added
1941 An official source attribution was added to the tracker record.
42+Source https://www.unimi.it/sites/default/files/regolamenti/Allegato%202_decalogo%20AI%20EN.pdf snapshot 96635ec635d3a0378720e34475a818b32999d27eaf69d183294eb7dfeaca0730
43+Tracker checked at: 2026-05-16T03:30:01.000Z
2044 ## Source attribution added
2145 An official source attribution was added to the tracker record.
46+Source https://www.unimi.it/sites/default/files/regolamenti/Allegato%203_decalogo%20AI%20EN.pdf snapshot 4de0e77532b08f859fb00cf79ba01f54db916c9e748acf02d421670a4c74a054
47+Tracker checked at: 2026-05-16T03:30:15.000Z

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