University AI Policy Tracker

Dossiers ouverts et fondes sur des preuves sur les politiques IA universitaires.

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Change log

University of Milan

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims6Sources4Release records0
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

University of Milan currently has 6 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Milan. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker 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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

University of Milan combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+12-0
11 # University of Milan AI policy record
2+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.
3+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.
4+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.
5+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.
6+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.
7+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.
8+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.
9+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.
10+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.
11+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.
12+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.
13+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.

Release history

0 public release diffs

Claim changes

6 claim records

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.

Review: Agent reviewedConfidence93%Evidence1Languagesen

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.

Review: Agent reviewedConfidence91%Evidence1Languagesen

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.

Review: Agent reviewedConfidence91%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

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.

Review: Agent reviewedConfidence90%Evidence1Languagesen

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.

Review: Agent reviewedConfidence89%Evidence1Languagesen

Source snapshots

4 source attributions