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No.52 / 52 · 52 所大学 AI 使用政策比较研究No.52 of 52 · AI Use Policies at 52 Universities

Toronto

University of Toronto多伦多大学加拿大Canada

来源层级 · 混合来源Source level · Mixed 8 / 12 项有明文规定8 of 12 provisions addressed 采集于 2026-09-26Accessed 2026-09-26 申请环节 · 本科 AI 明文边界Admissions · Explicit undergraduate rules

原文摘录Excerpt

选取标准:对高中读者最具引用价值的一句原文。Selected as the sentence most quotable for a high-school reader.

Generative AI should support, but not supplant your learning.

↓ 在原文中的位置↓ Where it appears in the source

十二项条款The twelve provisions

8 / 12

每项附该校原文中的依据语句,以及图谱 52 校中持同一立场的校数。颜色越深,规定越明确、越具约束力(不代表优劣);斜纹表示该来源未作表述。Each provision gives the supporting sentence and how many of the 52 universities in the atlas take the same position. Darker means more explicit and binding (not better); hatching means the source does not address it.

许可Permission使用许可由谁决定who decides whether AI may be used

默认规则Default rule

Default rule默认规则

作业未说明可否使用 AI 时,适用何种规则?When an assignment says nothing about AI, what applies?

默认禁止Prohibited by default主流口径MOST COMMON
The University of Toronto takes the stance that students are not allowed to use generative AI in a course unless the instructor explicitly permits it.

编码说明CODING NOTEUnapproved GenAI use is banned unless the instructor explicitly permits it.

52 校中 19 所与此相同 · 该条主流口径:默认禁止(19/45)19 of 52 take this position · most common: Prohibited by default (19/45)

课程规则优先Instructor override

Instructor override课程规则优先

任课教师的规定是否优先于校级规定?Does an instructor's rule take precedence over the institution's?

课程规则优先Course rule supersedes
If an instructor does permit generative AI in their course, it is important to follow all of their guidelines if you decide to use it.

编码说明CODING NOTEInstructor permission and guidelines govern once given; policies vary by course and are not assumed uniform.

52 校中 12 所与此相同 · 该条主流口径:教师可定但有底线(33/45)12 of 52 take this position · most common: Instructor rules within limits (33/45)

分级许可Tiered scale

Tiered scale分级许可

是否设有分级的使用许可框架?Is there a graduated permission framework?

未作表述Not addressed

本项目采集的官方来源未就此条款作出表述;这不代表该校没有相关规定。The official source collected here does not address this provision; this does not mean the university has no rule on it.

52 校中 32 所同样未作表述32 of 52 are likewise silent

透明Transparency使用后须说明的内容what must be declared after use

披露要求Disclosure

Disclosure披露要求

使用 AI 是否须予披露?为强制还是建议?Must AI use be disclosed, and is that required or recommended?

依课程而定Course dependent
you may need to cite the portions that were generated by AI

编码说明CODING NOTEWhen permitted, some courses require citing AI-generated portions; the requirement varies by course.

52 校中 14 所与此相同 · 该条主流口径:强制披露(20/46)14 of 52 take this position · most common: Required (20/46)

过程留证Process evidence

Process evidence过程留证

是否须保留草稿、提示词或编辑历史?Must drafts, prompts or edit history be kept?

建议留证Recommended主流口径MOST COMMON
you may need to include the prompts and outputs that you used in an appendix

编码说明CODING NOTESome courses that permit AI may ask for prompts and outputs in an appendix.

52 校中 18 所与此相同 · 该条主流口径:建议留证(18/19)18 of 52 take this position · most common: Recommended (18/19)

责任Accountability错误与违规的责任归属responsibility for errors and violations

核实责任Verification duty

Verification duty核实责任

AI 输出有误或虚构引注时,由谁负责?Who is responsible when AI output is wrong or a citation is invented?

须自行核实Verification required主流口径MOST COMMON
it’s important to verify anything it generates, even if it seems legitimate. Look for primary sources that can support what it is claiming

编码说明CODING NOTEStudents must verify AI-generated content against primary sources rather than trusting it as accurate.

52 校中 17 所与此相同 · 该条主流口径:须自行核实(17/38)17 of 52 take this position · most common: Verification required (17/38)

违规定性Integrity framing

Integrity framing违规定性

违规使用在纪律体系中如何定性?How is a violation classified in the disciplinary system?

学术不端Academic integrity violation主流口径MOST COMMON
Use of generative AI tools when not permitted is considered an academic offence and can result in an allegation of academic misconduct being raised by your instructor.

编码说明CODING NOTEUnpermitted GenAI use is an academic offence that can trigger an academic misconduct allegation.

52 校中 28 所与此相同 · 该条主流口径:学术不端(28/44)28 of 52 take this position · most common: Academic integrity violation (28/44)

检测器证据Detector evidence

Detector evidence检测器证据

AI 检测工具的结果能否作为证据?Can AI-detection results be used as evidence?

未作表述Not addressed

本项目采集的官方来源未就此条款作出表述;这不代表该校没有相关规定。The official source collected here does not address this provision; this does not mean the university has no rule on it.

52 校中 38 所同样未作表述38 of 52 are likewise silent

边界Boundaries数据、版权与工具的限制limits on data, copyright and tools

数据与隐私Data & privacy

Data & privacy数据与隐私

哪些内容不得输入 AI 工具?What must not be entered into an AI tool?

禁止上传受限数据Restricted data prohibited主流口径MOST COMMON
Do not input any private, confidential or identifying information into generative AI.

编码说明CODING NOTEBars entering private, confidential, or identifying information into generative AI tools.

52 校中 20 所与此相同 · 该条主流口径:禁止上传受限数据(20/31)20 of 52 take this position · most common: Restricted data prohibited (20/31)

机构工具Institutional tools

Institutional tools机构工具

学校是否指定或提供 AI 工具?Does the institution designate or provide AI tools?

未作表述Not addressed

本项目采集的官方来源未就此条款作出表述;这不代表该校没有相关规定。The official source collected here does not address this provision; this does not mean the university has no rule on it.

52 校中 28 所同样未作表述28 of 52 are likewise silent

理由Rationale规则的依据the stated basis for the rules

学习理由Learning rationale

Learning rationale学习理由

规则是否以“不得绕过应习得的能力”为依据?Are the rules grounded in not bypassing the skills to be learned?

明确以学习目标为据Explicit learning-objective rationale主流口径MOST COMMON
Instructors design their assessments to help students develop important skills for subsequent courses and for your future career, so unauthorized use of aids like generative AI can hinder your learning.

编码说明CODING NOTEAssessments are designed to build skills; unauthorized AI use can hinder learning and mask true progress.

52 校中 22 所与此相同 · 该条主流口径:明确以学习目标为据(22/37)22 of 52 take this position · most common: Explicit learning-objective rationale (22/37)

补充信息Further detail

要求披露的内容What must be disclosed

正式引注Formal citation提示词PromptsAI 输出内容AI output

申请环节的 AI 政策AI in the application

admissions/52-Toronto.md

该校招生办公室就申请人使用 AI 的公开表述,以本科新生申请为主。英文为逐字原文,中文为整理者的分析。证据状态描述找到了什么材料,不是宽严等级;未说明不代表允许。What this university's admissions office says about applicants using AI, chiefly for first-year undergraduate applications. English passages are verbatim; the Chinese is the collector's analysis. The evidence status describes what material was found, not how strict the rules are; silence does not mean permission.

证据状态Evidence status 本科申请 AI 明文边界(效力见来源)Explicit AI boundaries for undergraduate applicants (force as stated in the source)

多伦多大学Daniels学院本科BAVS/BAAS补充申请明确禁止用生成式AI制作图文,违反可致自动拒录;该页面也规定把AI生成内容当本人作品者失去录取资格。St. George计算机科学页面要求申请者基于本人经历和想法写作,但其文字不是同样的显式AI禁令。两者均不能外推至全校所有本科项目。

52 所大学对照 →All 52 compared →

来源信息Source information

  • Status: explicit-undergraduate-ai (see scope of each source; not a blanket university-wide rule).
  • 中文结论:多伦多大学Daniels学院本科BAVS/BAAS补充申请明确禁止用生成式AI制作图文,违反可致自动拒录;该页面也规定把AI生成内容当本人作品者失去录取资格。St. George计算机科学页面要求申请者基于本人经历和想法写作,但其文字不是同样的显式AI禁令。两者均不能外推至全校所有本科项目。
  • 原文引句与中文概述分开;原文来自保存的官方正文,经空白归一化对照。检索未发现规定不意味着允许使用。

[S1] Supplemental Applications

[S2] Supplementary Applications

[S2-Q1] admission consequence

Students and applicants found to have used generative AI (e.g., ChatGPT) to create content that is presented as their own will be disqualified from eligibility for admission.

[S2-Q2] prohibition in BAVS/BAAS

The use of generative Artificial Intelligence software to produce images or text is not permitted in your application and will result in automatic refusal.

[S3] Computer Science Supplemental Application

[S3-Q1] own experience and ideas

As with all academic work, it’s essential that you write your own answers based on your own experiences and ideas.

申请AI专项检索记录 / Admissions AI searches

检索结果只能用于发现线索;不能以检索未命中断言不存在政策。

  • site:future.utoronto.ca "generative AI" "supplemental" — Google HTTP 200 but rendered related-query/navigation links only; no reliable official result extractable from returned HTML. Separately reviewed saved official undergraduate bodies; no verified AI-specific rule from this search alone.
  • site:daniels.utoronto.ca "generative AI" "application" — Google HTTP 200 but rendered related-query/navigation links only; no reliable official result extractable from returned HTML. Separately reviewed saved official undergraduate bodies; no verified AI-specific rule from this search alone.
  • site:web.cs.toronto.edu "AI" "supplemental application" — Google HTTP 200 but rendered related-query/navigation links only; no reliable official result extractable from returned HTML. Separately reviewed saved official undergraduate bodies; no verified AI-specific rule from this search alone.

适用边界 / Gaps

  • 入学申请和入学后的课程作业是不同场景;未核实的AI规则不作许可。
  • Daniels限制只限其本科补充材料;CS补充申请的本人作答要求不能改写成全校AI技术禁令。

官方原文The official text

univ/52-Toronto.md

本项目采集的该校官方文本。图谱引用的语句已高亮,句末标签注明对应条款,点击可返回该条款。The official text collected for this university. Sentences the atlas cites are highlighted; the tag after each names the provision it supports and links back to it.

来源信息Source information

  • 来源层级Source level混合来源 —— 文件同时含校级来源与更窄范围的来源Mixed — the file combines a university-wide source with a narrower one
  • 抽取审计Extraction audit轻微修正(审计员修正 2 处)Minor corrections (2 corrections by the auditor)
  • 官方来源Official sourceUniversity of Toronto Mississauga Academic Integrity
    https://www.utm.utoronto.ca/academic-integrity/students/generative-ai
  • 官方来源Official sourceUniversity of Toronto AI portal
    https://ai.utoronto.ca/guidelines/
  • 访问日期Accessed 2026-09-26
  • 格式说明Format note Relevant passages copied verbatim from saved copies of the official pages below; navigation and unrelated page content removed. Wording is retained; layout may differ from the webpage.
  • 适用范围Scope note [Generative AI and Academic Integrity] University of Toronto Mississauga Academic Integrity — scope: UTM campus / student courses; reports University stance; authority: official-student-guidance. [AI Task Force and guidelines] University of Toronto AI portal — scope: university-wide resource index (links not full text of policies); authority: official-resource-index.
  • 用途说明Use note Source material for comparison, not a translation or the school's final high-school policy.

Generative AI and Academic Integrity


Generative AI and Academic Integrity

Generative AI is becoming increasingly common as it is integrated into browsers, existing websites and more. Like any tool, generative AI can improve productivity if used properly and ethically, but it also runs the risk of violating academic integrity policies if misused.

What is Generative AI?

Generative AI is a type of model trained on large quantities of source material that allow it to produce writing, images and more. Although there are a number of generative AI applications now available, one such type is based on Large Language Models (LLMs) capable of creating or editing various types of writing. These LLMs work by predicting the next word in a sentence, which it determines based on patterns in the texts that it was trained on. Due to how LLMs operate, they can produce fluent and natural-sounding language. However, it is important to recognize that these systems do not think, so they are prone to generating inaccurate claims and misinformation.

UofT’s Policy on Generative AI

The University of Toronto takes the stance that students are not allowed to use generative AI in a course unless the instructor explicitly permits it.默认规则Default rule

Instructors design their assessments to help students develop important skills for subsequent courses and for your future career, so unauthorized use of aids like generative AI can hinder your learning.学习理由Learning rationale Submitting your own, authentic work also provides TAs and instructors with a way to gauge your progress, which allows them to provide valuable feedback to help you improve.

If an instructor does permit generative AI in their course, it is important to follow all of their guidelines if you decide to use it.课程规则优先Instructor override In addition, you should not assume that an instructor will have the same policy on generative AI for all of the courses they teach.

Use of generative AI tools when not permitted is considered an academic offence and can result in an allegation of academic misconduct being raised by your instructor.违规定性Integrity framing

If you are ever unsure about the generative AI policies in a course, always reach out to your instructor and ask first.

How do I know if I can use Generative AI in a course?

Check the course syllabus and look for specific syllabus statements that indicate if you are permitted to use generative AI in any part of the course.

Review instructions carefully for every assessment. Assignment instructions are often more detailed than the syllabus and rules regarding authorized aids often differ between assessments.

If an instructor permits generative AI, there may be additional rules that you are required to follow. For example, you may need to cite the portions that were generated by AI披露要求Disclosure, or you may need to include the prompts and outputs that you used in an appendix过程留证Process evidence.

Paraphrasing apps and Grammarly’s AI writing partner service are derived from generative AI and some courses may not permit their use. It is always best to check in with the instructor before using these types of aids.

Always ask your instructors if you are ever unclear about their policies on generative AI.

Cautions for Using Generative AI

As an emerging technology, the risks of generative AI are not fully known. Here are some helpful pointers to keep in mind as these applications become increasingly common.

Generative AI should support, but not supplant your learning.摘录Excerpt

Although generative AI can be a useful study tool, it is important that you improve your own skills and create your own understanding of the course material. This means that you should put in the time to do practice questions on your own or learn how to explain a concept in your own words.

Generative AI can be inaccurate.

While generative AI can create content that appears convincing, AI can produce misleading or false information. As such, it’s important to verify anything it generates, even if it seems legitimate. Look for primary sources that can support what it is claiming核实责任Verification duty, and do not rely on it to do the research for you – remember that generative AI does not actually think, so it is not able to distinguish between factual or false information.

Do not input any private, confidential or identifying information into generative AI.数据与隐私Data & privacy

For many of these systems, the text you put in is retained and used to further train the AI. There is no easy way to have that information removed once it is in the system, so be careful about what you input – there is the risk that your information could be generated and leaked to others.

AI Task Force and guidelines


AI Task Force and guidelines

With a rich and robust history of leadership in the study and development of Artificial Intelligence (AI), the University of Toronto is uniquely positioned to harness and shape the transformative potential of this rapidly evolving field for our institution, and the higher education sector more broadly.

U of T guidelines for using GenAI

With the advent of publicly accessible generative AI (GenAI) tools, U of T has been continually assessing the technological landscape and updating relevant guidelines and protocols as needed. We will be collecting and sharing the guidelines and protocols as they become available. Additional resources will be posted to this page as they emerge regarding GenAI usage by faculty, students, researchers, and staff across our three campuses.

Collected guidelines and protocols

GenAI for Teaching and Learning *New

Guideline on the Use of AI by University Administrative Staff

Academic Integrity: Using a GenAI tool on a marked assessment

Coursework and GenAI: A Practical Guide for Students

Information Security Council: Use AI intelligently

Guidance on the use of Generative AI for marketing and communications staff

Office of the Vice-Provost, Innovations in Undergraduate Education: FAQs on GenAI in the classroom

School of Graduate Studies: Guidance on the appropriate use of GenAI in graduate theses

University of Toronto Libraries: Citing GenAI tools

University of Toronto Libraries: GenAI and copyright considerations

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