Change log

Toronto Metropolitan University (formerly Ryerson University)

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

Current public record freshness and review state.

Toronto Metropolitan University (formerly Ryerson University) currently has 8 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 18, 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Toronto Metropolitan University (formerly Ryerson University) current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+16-0
11 # Toronto Metropolitan University (formerly Ryerson University) AI policy record
2+academic_integrity: TMU's Academic Integrity Office says students should assume that using AI to complete assessments is prohibited unless the instructor explicitly states otherwise.
3+Evidence (en, 0ac525b7611a): Unless explicitly stated by the instructor, students should assume that using AI to complete assessments is prohibited.
4+privacy: TMU's Google AI Tools Help Centre says only public or low-sensitivity information should be entered into TMU's Google AI tools, and sensitive or confidential information should not be used in prompts, uploads, or activities.
5+Evidence (en, add64628a5b3): Only public or low-sensitivity information should be input to these tools. Sensitive and confidential information should never be used in prompts, uploaded files or other activities.
6+ai_tool_treatment: TMU guidance states that, unless a course instructor explicitly communicates otherwise, GenAI use for coursework is not permitted.
7+Evidence (en, 3c9cc6693c01): Unless explicitly communicated by the course instructor, the use of GenAI for coursework is not permitted
8+academic_integrity: TMU's Academic Integrity Office identifies submitting work created in whole or in part by AI tools, unless expressly permitted by the faculty member or contract lecturer, as a Policy 60 misrepresentation issue.
9+Evidence (en, 0ac525b7611a): 5.5. submitting work created in whole or in part by artificial intelligence tools unless expressly permitted by the Faculty/Contract Lecturer;
10+privacy: TMU's GenAI learning and teaching guidance tells users not to submit anyone's personal information into GenAI models without consent or an ability to opt out.
11+Evidence (en, 3c9cc6693c01): Do not submit anyone’s personal information into GenAI models without consent or ability to opt out and be aware that, in many cases, material uploaded or entered into GenAI tools is used to train future models.
12+ai_tool_treatment: TMU says the Gemini App and NotebookLM are available to TMU employees and students and that using a TMU account means activities will not be used to train Google's AI models.
13+Evidence (en, add64628a5b3): Both tools are available to TMU employees and students... By using your TMU account, you can ensure that your data will not be used to train Google's AI models.
14+teaching: TMU guidance says AI detectors are not currently endorsed and directs instructors with GenAI misuse concerns to the Academic Integrity Office for investigation recommendations.
15+Evidence (en, 3c9cc6693c01): AI detectors are not currently endorsed by TMU. If you have concerns about unauthorized use of GenAI by students, contact the Academic Integrity Office for recommendations on how to investigate the concern.
16+security_review: TMU states that privacy and AI impact assessments and a security risk assessment were conducted before releasing the Gemini App and NotebookLM at TMU.
17+Evidence (en, add64628a5b3): Prior to the release of the Gemini App and NotebookLM at TMU, we conducted privacy and AI impact assessments... and a security risk assessment with the Office of the Chief Information Security Officer.

Claim changes

8 claim records

academic_integrity

TMU's Academic Integrity Office says students should assume that using AI to complete assessments is prohibited unless the instructor explicitly states otherwise.

Review: Agent reviewedConfidence95%Evidence1Languagesen

privacy

TMU's Google AI Tools Help Centre says only public or low-sensitivity information should be entered into TMU's Google AI tools, and sensitive or confidential information should not be used in prompts, uploads, or activities.

Review: Agent reviewedConfidence95%Evidence1Languagesen

ai_tool_treatment

TMU guidance states that, unless a course instructor explicitly communicates otherwise, GenAI use for coursework is not permitted.

Review: Agent reviewedConfidence94%Evidence1Languagesen

academic_integrity

TMU's Academic Integrity Office identifies submitting work created in whole or in part by AI tools, unless expressly permitted by the faculty member or contract lecturer, as a Policy 60 misrepresentation issue.

Review: Agent reviewedConfidence94%Evidence1Languagesen

privacy

TMU's GenAI learning and teaching guidance tells users not to submit anyone's personal information into GenAI models without consent or an ability to opt out.

Review: Agent reviewedConfidence93%Evidence1Languagesen

ai_tool_treatment

TMU says the Gemini App and NotebookLM are available to TMU employees and students and that using a TMU account means activities will not be used to train Google's AI models.

Review: Agent reviewedConfidence93%Evidence1Languagesen

teaching

TMU guidance says AI detectors are not currently endorsed and directs instructors with GenAI misuse concerns to the Academic Integrity Office for investigation recommendations.

Review: Agent reviewedConfidence93%Evidence1Languagesen

security_review

TMU states that privacy and AI impact assessments and a security risk assessment were conducted before releasing the Gemini App and NotebookLM at TMU.

Review: Agent reviewedConfidence92%Evidence1Languagesen

Source snapshots

3 source attributions