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University of Toronto

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Review: Agent reviewedLast checkedMay 11, 2026Last changedMay 11, 2026Claims5Sources7

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University of Toronto currently has 5 source-backed claim records and 7 official source attributions. Latest tracked changed date: May 11, 2026.

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.

11 # University of Toronto AI policy record
2+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.
3+Evidence (en, 073b55561d09): By failing to comply with the instructor's specific instructions that you not use generative AI tools in writing your term paper, you have knowingly used an unauthorized aid in preparing your assignment. Any student using an unauthorized aid has committed an offence under the University's Code of Behaviour on Academic Matters
4+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.
5+Evidence (en, 222e9ce88997): Currently, Microsoft Copilot is the recommended generative AI tool to use at U of T. When a user signs in using University credentials, Microsoft Copilot conforms to U of T’s privacy and security standards (i.e., does not share any data with Microsoft or any other company) for use with up to level 3 data .
6+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.
7+Evidence (en, 152ba6a66b83): It is recommended that students seek and document in writing unambiguous approval from their supervisor(s) and supervisory committee in advance of the use of generative AI tools in research, writing, or other scholarly activities relevant to graduate academic milestones.
8+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.
9+Evidence (en, e32e6fad89e2): The University also recommends that you include a statement on your syllabus that informs students about your expectations with respect to the use of AI. We have created sample statements for instructors to include in course syllabi and course assignments to help shape the message to students about what AI technology is, or is not, allowed.
10+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.
11+Evidence (en, 3d12d4134f3c): No data should be provided to generative AI if any part of that data should not be included in results produced by that system. If multiple people are using the system, one person’s data may potentially be revealed to someone else. Be aware of whether the system shares data with other systems and platforms. Before sharing personal information or university data classified as level 2, 3 or 4 with any AI tool, verify that the tool has been assessed by the university as suitable for that data type and classification level .

Claim changes

5 claim records

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