版本差异
University of Toronto
针对...的统一追踪器差异 public-release-20260523-001。未发布完整的源页面文本；仅显示简短的原始语言证据片段以供引用参考。
统一差异
基于公开版本快照生成的版本间跟踪器变更。
大学 of Toronto public-release-20260523-001 差异
初始跟踪发布。
+29-0
11 # University of Toronto AI policy diff
22 ## Source attribution added
33 An official source attribution was added to the tracker record.
4+Source https://ai.utoronto.ca/guidelines/ snapshot f8beb35755217d39b42ad1f5342dbdf2558842f50a1c9d7cb263639742413591
5+Tracker checked at: 2026-05-11T09:40:00.000Z
46 ## Source attribution added
57 An official source attribution was added to the tracker record.
8+Source https://security.utoronto.ca/governance/guidelines/use-ai-intelligently/ snapshot 3d12d4134f3cecd0f1372225d1fcfff017de673f53f66ef48859a0d650b28b04
9+Tracker checked at: 2026-05-11T09:38:00.000Z
610 ## Source attribution added
711 An official source attribution was added to the tracker record.
12+Source https://teaching.utoronto.ca/teaching-uoft-genai/ snapshot cf4d65871700c61b56f14641f1668e140c3533b751cfab9ea061a08f11e56842
13+Tracker checked at: 2026-05-11T09:41:00.000Z
814 ## Source attribution added
915 An official source attribution was added to the tracker record.
16+Source https://teaching.utoronto.ca/teaching-uoft-genai/genai-tools/ snapshot 222e9ce88997f102e1c0771cda772c4277683458161373e92774804c7e838a7b
17+Tracker checked at: 2026-05-11T09:39:00.000Z
1018 ## Source attribution added
1119 An official source attribution was added to the tracker record.
20+Source https://www.academicintegrity.utoronto.ca/perils-and-pitfalls/using-chatgpt-or-other-ai-tool-on-a-marked-assessment/ snapshot 073b55561d0949062e01b1a9676e0db83eebc87827ad7ebeae75d81b79adbc2b
21+Tracker checked at: 2026-05-11T09:36:00.000Z
1222 ## Source attribution added
1323 An official source attribution was added to the tracker record.
24+Source https://www.sgs.utoronto.ca/about/guidance-on-the-use-of-generative-artificial-intelligence/ snapshot 152ba6a66b8373e8d41bcba53fa1ca02e5e6003f5403f8664422b95974129ed6
25+Tracker checked at: 2026-05-11T09:35:00.000Z
1426 ## Source attribution added
1527 An official source attribution was added to the tracker record.
28+Source https://www.viceprovostundergrad.utoronto.ca/16072-2/teaching-initiatives/generative-artificial-intelligence/ snapshot e32e6fad89e2e18dab4388a513773c62f3b1401b538cedf50cd58c7101750f00
29+Tracker checked at: 2026-05-11T09:37:00.000Z
1630 ## Newly extracted tracker claim
1731 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
32+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.
33+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
34+Tracker checked at: 2026-05-11T09:36:00.000Z
1835 ## Newly extracted tracker claim
1936 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
37+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.
38+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 .
39+Tracker checked at: 2026-05-11T09:39:00.000Z
2040 ## Newly extracted tracker claim
2141 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
42+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.
43+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.
44+Tracker checked at: 2026-05-11T09:35:00.000Z
2245 ## Newly extracted tracker claim
2346 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
47+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.
48+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 .
49+Tracker checked at: 2026-05-11T09:38:00.000Z
2450 ## Newly extracted tracker claim
2551 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
52+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.
53+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.
54+Tracker checked at: 2026-05-11T09:37:00.000Z
如何阅读此差异
追踪器发布元数据，而非大学发布时间点的直接证明。
新提取的主张是追踪器的新增项，不一定是大学新发布的。来源快照变更意味着同一 URL 产生了不同的哈希值；这可能是政策文本、布局、导航或元数据的变化。
边界
仅限追踪器元数据
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.