academic_integrity
UdeM's teaching-integrity guidance says course plans should explicitly state when generative AI tools are permitted; without explicit authorization, the tools are deemed prohibited.
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變更紀錄
Université de Montréal
追蹤器歷史：0 筆發布紀錄。
變更摘要
目前公開紀錄的時效性與審查狀態。
7 條當前主張；5 個官方來源。
此頁面整合了所有公開發布版本差異，適用於 Université de Montréal。個別發布快照仍可從其特定版本 URL 取得。
此追蹤器歷史紀錄中無已記錄的更新。
本追蹤器並非法律意見，亦非學術誠信建議；除非所連結的來源為大學本身的官方網頁，否則亦不構成大學的正式聲明。
新擷取的主張屬於追蹤器的新增項目，不一定是大學新近發布的內容。來源快照的變更表示同一來源網址的雜湊值有所改變，本身並不等同於政策變動。
差異類別
此次版本差異的語意分類。
已記錄的文本比對
僅顯示具備完全符合 Claim ID 的已記錄比較。
此追蹤器歷史紀錄中無已記錄的更新。
發布歷程
追蹤器歷史：0 筆發布紀錄。
當前 Claim 記錄
現行主張紀錄：7。
privacy
UdeM Directive 10.70 tells administrative staff that confidentiality level 3 and 4 information must never be entered into a generative AI tool.
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research
For UdeM graduate directed work, master's theses, doctoral essays, and dissertations, the graduate-studies guidance says generative AI use in research and writing must be transparent, and non-transparent use could be considered a disciplinary offence.
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privacy
UdeM's graduate-studies guidance says graduate students working with human-participant research data must not submit personal or identifying participant information, or information that could identify an individual or group, to generative AI tools.
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ai_tool_treatment
For administrative staff, UdeM Directive 10.70 says generative AI use should be disclosed, and use in a decision-making process should be disclosed to affected persons with consent obtained before use.
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security_review
UdeM's TI page for administrative staff says some generative AI tools are permitted if Directive 10.70 principles are respected, but identifies READ.AI and DeepSeek as proscribed tools.
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teaching
UdeM's teaching-integrity guidance cautions teaching staff that AI-generated-content detection tools can vary in reliability and their results should be considered carefully.
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來源快照
官方來源紀錄：5。
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