University AI Policy Tracker

Otwarte, oparte na dowodach rekordy polityk AI uczelni do publicznego uzycia.

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Change log

University of Toronto

Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Review: Agent reviewedLast checkedMay 23, 2026Last changedMay 23, 2026Claims8Sources8Latest releasepublic-release-20260523-002Release records3
University pagePublic JSONMonthly reportUniversity index

Change summary

Current public record freshness and review state.

University of Toronto currently has 8 source-backed claim records and 8 official source attributions. Latest tracked changed date: May 23, 2026. Latest tracker diff: 0 comparable policy-text changes, 3 newly extracted claims, 2 source snapshot changes.

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

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 extracted3Evidence0Source snapshots2Source text0Source added0Source removed0

Combined release diff

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

University of Toronto combined release diff

Combining 3 public release diffs for this university. Each section below keeps the original release-to-release comparison.

+13-4
11 # University of Toronto 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+research: University of Toronto graduate students must clearly describe and cite any generative AI tools used in thesis research or writing.
5+Evidence (en, 82bbc770945e): Careful attention must be paid in the thesis to appropriately citing and describing any use of generative AI tools in the research process. It must be clear to the reader which generative AI tools were used, as well as how and why they were used.
6+Tracker checked at: 2026-05-23T18:20:00.000Z
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+academic_integrity: University of Toronto states that unauthorized use of generative AI tools for graduate scholarly work may be considered an academic or research misconduct offence.
10+Evidence (en, 82bbc770945e): Unauthorized use of generative AI tools for scholarly work at the University of Toronto may be considered an offence under the Code of Behaviour on Academic Matters, and research misconduct as defined in the Policy on Ethical Conduct in Research.
11+Tracker checked at: 2026-05-23T18:20:00.000Z
612 ## Source snapshot hash changed
713 The same source URL has a different snapshot hash. This may reflect policy text, page layout, navigation, or metadata changes; it is not by itself a policy change.
8-Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 152ba6a66b8373e8d41bcba53fa1ca02e5e6003f5403f8664422b95974129ed6
9-Tracker checked at: 2026-05-23T18:20:00.000Z
14+Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 82bbc770945e4cbd90282e196d1b4d37626868f936a1032a7cc29188518941b0
15+Tracker checked at: 2026-05-23T18:20:00.000Z
1016 ## Source snapshot hash changed
1117 The same source URL has a different snapshot hash. This may reflect policy text, page layout, navigation, or metadata changes; it is not by itself a policy change.
12-Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 82bbc770945e4cbd90282e196d1b4d37626868f936a1032a7cc29188518941b0
13-Tracker checked at: 2026-05-11T09:35:00.000Z
18+Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 152ba6a66b8373e8d41bcba53fa1ca02e5e6003f5403f8664422b95974129ed6
19+Tracker checked at: 2026-05-11T09:35:00.000Z
1420 ## Newly extracted tracker claim
1521 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
22+research: University of Toronto School of Graduate Studies says use of generative AI tools in any aspect of researching or writing a doctoral thesis must have prior approval from the supervisor or supervisory committee.
23+Evidence (en, 82bbc770945e): The use of generative AI tools in any aspect of researching or writing of the thesis must be done with the prior approval of the supervisor(s) and supervisory committee.
24+Tracker checked at: 2026-05-23T18:20:00.000Z

Release history

3 public release diffs

public-release-20260523-002

Compared with public-release-20260523-001.

Policy text0Newly extracted2Source snapshots1Source text0
Release diffDiff JSON

University of Toronto public-release-20260523-002 diff

Comparing public-release-20260523-001 to public-release-20260523-002.

+8-2
11 # University of Toronto 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+research: University of Toronto graduate students must clearly describe and cite any generative AI tools used in thesis research or writing.
5+Evidence (en, 82bbc770945e): Careful attention must be paid in the thesis to appropriately citing and describing any use of generative AI tools in the research process. It must be clear to the reader which generative AI tools were used, as well as how and why they were used.
6+Tracker checked at: 2026-05-23T18:20:00.000Z
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+academic_integrity: University of Toronto states that unauthorized use of generative AI tools for graduate scholarly work may be considered an academic or research misconduct offence.
10+Evidence (en, 82bbc770945e): Unauthorized use of generative AI tools for scholarly work at the University of Toronto may be considered an offence under the Code of Behaviour on Academic Matters, and research misconduct as defined in the Policy on Ethical Conduct in Research.
11+Tracker checked at: 2026-05-23T18:20:00.000Z
612 ## Source snapshot hash changed
713 The same source URL has a different snapshot hash. This may reflect policy text, page layout, navigation, or metadata changes; it is not by itself a policy change.
8-Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 152ba6a66b8373e8d41bcba53fa1ca02e5e6003f5403f8664422b95974129ed6
9-Tracker checked at: 2026-05-23T18:20:00.000Z
14+Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 82bbc770945e4cbd90282e196d1b4d37626868f936a1032a7cc29188518941b0
15+Tracker checked at: 2026-05-23T18:20:00.000Z

public-release-20260524-001

Compared with public-release-20260523-002.

Policy text0Newly extracted0Source snapshots1Source text0
Release diffDiff JSON

University of Toronto public-release-20260524-001 diff

Comparing public-release-20260523-002 to public-release-20260524-001.

+2-2
11 # University of Toronto AI policy diff
22 ## Source snapshot hash changed
33 The same source URL has a different snapshot hash. This may reflect policy text, page layout, navigation, or metadata changes; it is not by itself a policy change.
4-Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 82bbc770945e4cbd90282e196d1b4d37626868f936a1032a7cc29188518941b0
5-Tracker checked at: 2026-05-11T09:35:00.000Z
4+Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 152ba6a66b8373e8d41bcba53fa1ca02e5e6003f5403f8664422b95974129ed6
5+Tracker checked at: 2026-05-11T09:35:00.000Z

public-release-20260526-003

Compared with public-release-20260526-001.

Policy text0Newly extracted1Source snapshots0Source text0
Release diffDiff JSON

University of Toronto public-release-20260526-003 diff

Comparing public-release-20260526-001 to public-release-20260526-003.

+3-0
11 # University of Toronto 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+research: University of Toronto School of Graduate Studies says use of generative AI tools in any aspect of researching or writing a doctoral thesis must have prior approval from the supervisor or supervisory committee.
5+Evidence (en, 82bbc770945e): The use of generative AI tools in any aspect of researching or writing of the thesis must be done with the prior approval of the supervisor(s) and supervisory committee.
6+Tracker checked at: 2026-05-23T18:20:00.000Z

Claim changes

8 claim records

research

University of Toronto School of Graduate Studies says use of generative AI tools in any aspect of researching or writing a doctoral thesis must have prior approval from the supervisor or supervisory committee.

Review: Agent reviewedConfidence90%Evidence1Languagesen

research

University of Toronto graduate students must clearly describe and cite any generative AI tools used in thesis research or writing.

Review: Agent reviewedConfidence90%Evidence1Languagesen

academic_integrity

University of Toronto states that unauthorized use of generative AI tools for graduate scholarly work may be considered an academic or research misconduct offence.

Review: Agent reviewedConfidence90%Evidence1Languagesen

teaching

University of Toronto recommends that instructors include a statement on their syllabus that informs students about expectations with respect to the use of AI, and provides sample syllabus statements for instructors to use.

Review: Agent reviewedConfidence96%Evidence1Languagesen

privacy

University of Toronto Information Security guidelines state that no data should be provided to generative AI if any part of that data should not be included in results produced by that system, and users must verify AI tools have been assessed by the university as suitable for the data classification level before sharing personal information or university data classified as level 2, 3 or 4.

Review: Agent reviewedConfidence95%Evidence1Languagesen

ai_tool_treatment

University of Toronto teaching guidance says Microsoft Copilot is the recommended generative AI tool to use at U of T and, when signed in with University credentials, conforms to U of T privacy and security standards for use with up to level 3 data.

Review: Agent reviewedConfidence97%Evidence1Languagesen

research

University of Toronto School of Graduate Studies recommends that graduate students seek and document unambiguous approval from their supervisor(s) and supervisory committee before using generative AI tools in research, writing, or other scholarly activities relevant to graduate academic milestones.

Review: Agent reviewedConfidence96%Evidence1Languagesen

academic_integrity

University of Toronto considers use of generative AI tools on marked assessments without instructor permission to be use of an unauthorized aid under the Code of Behaviour on Academic Matters.

Review: Agent reviewedConfidence98%Evidence1Languagesen

Source snapshots

8 source attributions

Guidelines - Toward an AI-ready University

official_guidance Tracker checked at May 11, 2026, 9:40 AM

Snapshot hash
f8beb35755217d39b42ad1f5342dbdf2558842f50a1c9d7cb263639742413591