Canberra, Australia 上次查核時間

Australian National University (ANU)

獨立 · 開放存取 · 非官方大學頁面

您想檢查什麼?

搜尋大學

依主題探索目前紀錄

課業與評估

課程專屬許可

ANU 將 AI 評量許可授權給各課程協調人。學生必須查閱每門課程的課堂摘要和評量大綱,以了解具體的 AI 規範。未經核准的起草是被禁止的。

官方來源 ↗

考試

適用評量大綱規則

本次審查未能確認澳洲國立大學(ANU)現行中央規定明確允許或禁止在考試中使用生成式 AI。請查閱具體評量的說明;一般的不當行為規定並不構成對考試的全面禁令。

官方來源 ↗

透明度與聲明

使用時必須聲明

澳洲國立大學(ANU)法學院的提交作業若使用AI工具,學生必須申報應用程式名稱、用途及使用程度/頻率;申報內容應置於第一個註腳中。其他 ANU 評估則請遵循各課程的特定指示。

官方來源 ↗

資料隱私與學生智慧財產

上傳前需先取得同意

教學人員不得將學生資料或學術作業上傳至 GenAI 平台。未經個人明確同意,使用者不得使用 AI 收集、使用、儲存或揭露個人資訊。

官方來源 ↗

經核准之 AI 服務

商業資料保護

Microsoft Copilot Enterprise(含商業資料保護)可透過單一登入(SSO)供ANU所有教職員與學生使用。Adobe Firefly則供教職員及特定創意類課程的學員群組使用。

官方來源 ↗

研究與出版物

ARC 與出版商標準

根據 ANU 圖書館編目的澳洲研究委員會(ARC)政策,申請 ARC 資助的研究人員必須確保申請書的完整性與準確性,並且必須揭露任何生成式 AI 的使用情形。根據 ANU 圖書館編目的美國計算機協會(ACM)政策,例如 ChatGPT 等生成式 AI 工具不得列為 ACM 出版作品的作者;AI 輔助的內容創作必須完整揭露。

官方來源 ↗
更多已審閱的紀錄主題

學術誠信架構

多層級程序正義

根據ANU學術誠信規則2021框架,疑似違規行為透過非正式審查或正式調查處理;學生有權獲得書面通知,並可獲得支援人員協助(例如ANUSA或學務長)。認定結果分為以下幾類:無違規(不留紀錄);學術行為不當(非故意或疏忽;處分包括申誡、重新評量,或將評量成績扣減最多25%,若為本科階段課程修習的前48個學分,則最多扣減10%;記錄於內部,不列於成績單);以及學術不端(嚴重或故意;正式處分最高包括科目不及格、設施使用權遭拒、停學或開除學籍)。

官方來源 ↗

教學與評量設計

CLT 指引資源

鼓勵授課教師設計重視真實學習的評量,並在教學大綱中就生成式 AI 提供清楚的政策。

官方來源 ↗

資訊安全與採購

需機構核准

凡用於大學業務及/或 ANU 管理裝置上的所有技術解決方案,均須經大學核准。

官方來源 ↗

提交前

應做事項

  • 使用生成式 AI 前,請先查閱課程摘要與評量大綱,了解各課程特定的 AI 規定。
    來源指引
  • 對於使用 AI 的 ANU 法學院作業提交,應申報工具名稱、目的及程度;該申報應位於第一個註腳中。對於其他課程,請遵循課程指引。
    本範圍要求
  • 請以您的 ANU 帳號登入,以使用經認可、具商業資料保護的 Copilot Enterprise。
    來源指引

請勿

  • 未經許可,切勿將 AI 生成的文字或分析當作您自己的獨立作業繳交。
    本範圍要求
  • 教職人員不得將學生資料或學術著作上傳至生成式 AI 平台,使用者未經明確同意亦不得將個人資訊輸入 AI。
    本範圍要求
  • 切勿預設測驗中允許或禁止生成式 AI;請查閱具體的評量說明。
    本站建議

AI 使用受到質疑?

Australian National University (ANU)

受眾與活動範圍依來源而有嚴格區分:課程大綱規範課程作業的評量任務;法學院規則規範附註聲明的法律作業;教學指引限制學術人員將學生資料上傳至生成式 AI 平台;大學隱私規則規範所有使用者的個人資訊處理;Copilot Enterprise 條款規範機構 SSO 存取。

調查與回應

澳洲國立大學(ANU)處理疑似濫用生成式AI的程序,與處理任何不當行為相同,確保學生在作出正式決定前有機會回應。

原始證據與範圍

澳洲國立大學(ANU)處理疑似濫用生成式AI的程序,與處理任何不當行為相同,確保學生在作出正式決定前有機會回應。

claim-anu-005c
The  ANU procedure  for suspected misuse of generative AI is the same as for any misconduct, which includes giving a student the opportunity to respond.

Section: AI FAQs - procedure for suspected misuse; Extracted text SHA256 9e01dabe33ec988df7e6d95fe52c0c80665d46313747fa72659e7d235ba8d03d; original binding lines 114–114; characters 5619–5771; excerpt offset 0–152

大學官方來源 ↗

根據ANU學術誠信規則2021框架,疑似違規行為透過非正式審查或正式調查處理;學生有權獲得書面通知,並可獲得支援人員協助(例如ANUSA或學務長)。認定結果分為以下幾類:無違規(不留紀錄);學術行為不當(非故意或疏忽;處分包括申誡、重新評量,或將評量成績扣減最多25%,若為本科階段課程修習的前48個學分,則最多扣減10%;記錄於內部,不列於成績單);以及學術不端(嚴重或故意;正式處分最高包括科目不及格、設施使用權遭拒、停學或開除學籍)。

原始證據與範圍

根據ANU學術誠信規則2021框架,疑似違規行為透過非正式審查或正式調查處理;學生有權獲得書面通知,並可獲得支援人員協助(例如ANUSA或學務長)。認定結果分為以下幾類:無違規(不留紀錄);學術行為不當(非故意或疏忽;處分包括申誡、重新評量,或將評量成績扣減最多25%,若為本科階段課程修習的前48個學分,則最多扣減10%;記錄於內部,不列於成績單);以及學術不端(嚴重或故意;正式處分最高包括科目不及格、設施使用權遭拒、停學或開除學籍)。

draft-anu-015
No Breach No Breach means that the course convenor concludes that the conduct has not breached the academic integrity principle. This is the end of the process. There will be no record on the student’s record or official transcript. Poor Academic Practice This is when the course convenor believes that the conduct is a breach of the academic integrity principle, however the conduct is excusable due to mitigating circumstances (e.g. personal, emotional, health-related circumstances, etc.) or the conduct is unintended, careless, inadvertent or uninformed. The breach is also not of a serious nature nor is it a recurrence. The course convenor can take certain actions, e.g. require the student to

Section: Step 4: Notification of outcome; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 410–414; characters 11103–11879; excerpt offset 0–700

大學官方來源 ↗
re-submit their assessment, or reduce the student’s mark for the assessment.

Section: Step 4: Notification of outcome; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 410–414; characters 11103–11879; excerpt offset 700–776

大學官方來源 ↗
Step 2: Seek support if required If support and/or assistance is needed at any point in time of the process, please contact ANUSA or the Dean of Students for advice.

Section: Step 2: Seek support; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 401–403; characters 10241–10407; excerpt offset 0–166

大學官方來源 ↗
reduce the student’s mark for the relevant examination or other assessment no more than 25% of the mark available for the assessment (Rule 30(2) (g)/ Rule 51(2) (g)) no more than 10% of the mark available for the assessment for students within their first 48 units of an undergraduate coursework award (Rule 30(3)/ Rule 51(3))

Table of Outcomes - Poor Academic Practice mark reduction limits; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 476–478; characters 18851–19177; excerpt offset 0–326

大學官方來源 ↗
(g)     subject to subsection (3 ), reduce the student’s mark for the relevant examination or other assessment by no more than 25% of the ma rk available for the assessment; (h)     tell any relevant professional, government or other organisation or agency about the finding and any action taken in relation to it. [ Note:   For action under paragraph (d), (e) and (f), see section 56 (Undertakings and requirements: finding of poor academic practice). ] (3)     However, under subsection (2)(g) the course convener may reduce the student’s mark by no more than 10% of the mark available for the assessment if the student’s c onduct is in relation to coursework undertaken by the st udent during the

Section 30(2)(g) and Section 30(3) - Course convener mark reduction limits; Extracted text SHA256 41ef5d6b92e42e666b95a9173f64b61863606d72f2381612a86966cb6adb56ed; original binding lines 414–417; characters 36237–37004; excerpt offset 0–700

大學官方來源 ↗
f irst 48 units of a program for an undergraduate coursework award.

Section 30(2)(g) and Section 30(3) - Course convener mark reduction limits; Extracted text SHA256 41ef5d6b92e42e666b95a9173f64b61863606d72f2381612a86966cb6adb56ed; original binding lines 414–417; characters 36237–37004; excerpt offset 700–767

大學官方來源 ↗

可能的結果

根據ANU學術誠信規則2021框架,疑似違規行為透過非正式審查或正式調查處理;學生有權獲得書面通知,並可獲得支援人員協助(例如ANUSA或學務長)。認定結果分為以下幾類:無違規(不留紀錄);學術行為不當(非故意或疏忽;處分包括申誡、重新評量,或將評量成績扣減最多25%,若為本科階段課程修習的前48個學分,則最多扣減10%;記錄於內部,不列於成績單);以及學術不端(嚴重或故意;正式處分最高包括科目不及格、設施使用權遭拒、停學或開除學籍)。

原始證據與範圍

根據ANU學術誠信規則2021框架,疑似違規行為透過非正式審查或正式調查處理;學生有權獲得書面通知,並可獲得支援人員協助(例如ANUSA或學務長)。認定結果分為以下幾類:無違規(不留紀錄);學術行為不當(非故意或疏忽;處分包括申誡、重新評量,或將評量成績扣減最多25%,若為本科階段課程修習的前48個學分,則最多扣減10%;記錄於內部,不列於成績單);以及學術不端(嚴重或故意;正式處分最高包括科目不及格、設施使用權遭拒、停學或開除學籍)。

draft-anu-015
No Breach No Breach means that the course convenor concludes that the conduct has not breached the academic integrity principle. This is the end of the process. There will be no record on the student’s record or official transcript. Poor Academic Practice This is when the course convenor believes that the conduct is a breach of the academic integrity principle, however the conduct is excusable due to mitigating circumstances (e.g. personal, emotional, health-related circumstances, etc.) or the conduct is unintended, careless, inadvertent or uninformed. The breach is also not of a serious nature nor is it a recurrence. The course convenor can take certain actions, e.g. require the student to

Section: Step 4: Notification of outcome; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 410–414; characters 11103–11879; excerpt offset 0–700

大學官方來源 ↗
re-submit their assessment, or reduce the student’s mark for the assessment.

Section: Step 4: Notification of outcome; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 410–414; characters 11103–11879; excerpt offset 700–776

大學官方來源 ↗
Step 2: Seek support if required If support and/or assistance is needed at any point in time of the process, please contact ANUSA or the Dean of Students for advice.

Section: Step 2: Seek support; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 401–403; characters 10241–10407; excerpt offset 0–166

大學官方來源 ↗
reduce the student’s mark for the relevant examination or other assessment no more than 25% of the mark available for the assessment (Rule 30(2) (g)/ Rule 51(2) (g)) no more than 10% of the mark available for the assessment for students within their first 48 units of an undergraduate coursework award (Rule 30(3)/ Rule 51(3))

Table of Outcomes - Poor Academic Practice mark reduction limits; Extracted text SHA256 c821f16619d66cb622a6b5cc289b036d9577d884e00f98834ee1658848d76907; original binding lines 476–478; characters 18851–19177; excerpt offset 0–326

大學官方來源 ↗
(g)     subject to subsection (3 ), reduce the student’s mark for the relevant examination or other assessment by no more than 25% of the ma rk available for the assessment; (h)     tell any relevant professional, government or other organisation or agency about the finding and any action taken in relation to it. [ Note:   For action under paragraph (d), (e) and (f), see section 56 (Undertakings and requirements: finding of poor academic practice). ] (3)     However, under subsection (2)(g) the course convener may reduce the student’s mark by no more than 10% of the mark available for the assessment if the student’s c onduct is in relation to coursework undertaken by the st udent during the

Section 30(2)(g) and Section 30(3) - Course convener mark reduction limits; Extracted text SHA256 41ef5d6b92e42e666b95a9173f64b61863606d72f2381612a86966cb6adb56ed; original binding lines 414–417; characters 36237–37004; excerpt offset 0–700

大學官方來源 ↗
f irst 48 units of a program for an undergraduate coursework award.

Section 30(2)(g) and Section 30(3) - Course convener mark reduction limits; Extracted text SHA256 41ef5d6b92e42e666b95a9173f64b61863606d72f2381612a86966cb6adb56ed; original binding lines 414–417; characters 36237–37004; excerpt offset 700–767

大學官方來源 ↗

審核與申訴

目前保留的證據未包含經核實的具體程序或期限。請查閱適用的大學規定。

AI工具與存取

  • Microsoft Copilot官方建議在來源範圍內記錄為允許

    請以 ANU 電子郵件於 copilot.microsoft.com 登入,或透過 Microsoft 365 應用程式入口網站登入。

  • Adobe Firefly機構存取/授權在來源範圍內受限

    獲分配的使用者,可使用 ANU 單一登入憑證,透過 Adobe Creative Cloud 入口網站存取。

紀錄更新最近90天 · 已記錄的更新:2

此為本網站已審查紀錄的更新,並不代表大學已變更其政策。

  1. 頁面更新

    其他紀錄 · 頁面更新

    檢視修訂版本

    正在載入修訂版本…

  2. 已保留/已移出目前結論 · 新增紀錄 · 網站更正

    考試 · Research & publication · 另有 7 個主題 · Records involved: 34 (29 corrected / adjusted · 4 added · 1 held)

    檢視修訂版本

    正在載入修訂版本…

已審查的聲明

33

暫緩結論與歷史證據 (1)

這些原始紀錄及先前審核狀態僅為追溯來源而保留,不代表目前的許可、義務或具體期限。

ANU was developing governance document changes to require students to acknowledge any use of artificial intelligence in their work (as of early 2023).

目前狀態:暫緩;歷史審核狀態: agent_reviewed

claim-anu-010a

Minor changes to a range of relevant governance documents and academic integrity guidance for students are also being considered. Once approved, these changes are likely to require students to acknowledge any use of artificial intelligence in their work.

官方來源

16 個官方網址;16 項來源出處及其擷取版本已保留。

ANU Institutional AI Principles

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

ANU Institutional AI Principles · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

f024609de98a615b3f99b4980000df01b170b694202271e7bd6e13bc38b7daeb

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

AI for learning and assessment

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

AI for learning and assessment · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

57c0904702e932c3f0ae8034fbf2dfdd3e75e74b09d8baf5056c973b3a8eb5c1

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Generative AI and Data Governance

www.anu.edu.au

大學官方來源

anu.edu.au

雜湊值與擷取版本

Generative AI and Data Governance · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

605ff5a82dcfcd3a14bd3941de843ea6ebd4958ba1f5e0e5a5b7a83a5a2b8ec2

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Guide for students: best practice when using Generative AI

www.anu.edu.au

大學官方來源

anu.edu.au

雜湊值與擷取版本

Guide for students: best practice when using Generative AI · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

f4dafbf640430ff726327475c32331321c3f506becbdec299de38ac4cc4ccfda

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

FAQs about AI

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

FAQs about AI · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

dc615efccb81982ad6bf53da2256fed2eed85fc4859c7ae84f292a68aaca19d8

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Use of Generative AI Tools in Assessment - Guidance for ANU Law Students

law.anu.edu.au

大學官方來源

law.anu.edu.au

雜湊值與擷取版本

Use of Generative AI Tools in Assessment - Guidance for ANU Law Students · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

1feb20643879b74b6a7e8726b607225f7a1cacaf6034052d5f2b143eba291c1c

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Generative AI and Assessment - ANU Learning and Teaching

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

Generative AI and Assessment - ANU Learning and Teaching · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

65b8c9cf2abce99c6cfce4c62d333ff23eb71ee042e4c4b90f70668acf97a049

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

AI Essentials - ANU Learning and Teaching

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

AI Essentials - ANU Learning and Teaching · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

368d26ba42d07f956756ccb6bc4566db9db7dbc1996fa6195efe3f653bd1afca

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Referencing and generative AI - Artificial Intelligence including generative AI LibGuide

libguides.anu.edu.au

大學官方來源

libguides.anu.edu.au

雜湊值與擷取版本

Referencing and generative AI - Artificial Intelligence including generative AI LibGuide · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

40f47aa9174485cad2a1c6e1e3d7d76e9ff77aa33e464291cf9aebbe186f7396

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

ChatGPT: What ANU academics need to know

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

ChatGPT: What ANU academics need to know · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

1223317d00fb55b63da5ef7c2a769d59dc50f25527eccf1efbe2e75ac3a964c6

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

AI Guidelines for CAP Students

asiapacific.anu.edu.au

大學官方來源

asiapacific.anu.edu.au

雜湊值與擷取版本

AI Guidelines for CAP Students · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

3e258f61a779fcc14517bbdd57e55f6757e2460178ee0f81e84e2ba936573d93

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Chat GPT and other generative AI tools: What ANU academics need to know (PDF)

learningandteaching.anu.edu.au

大學官方來源

learningandteaching.anu.edu.au

雜湊值與擷取版本

Chat GPT and other generative AI tools: What ANU academics need to know (PDF) · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

596f3a57445d657da0ef2a05eebca2b5354e6885b540ff576fc8fd8b4f8e0667

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Microsoft Copilot AI | Services

services.anu.edu.au

大學官方來源

services.anu.edu.au

雜湊值與擷取版本

Microsoft Copilot AI | Services · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

0e36d1aca4efd18cc79cdece23d91a8e8d5bfb7c39bce9bfb325aad061646123

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Academic Integrity Rule 2021 for Learners | Services

services.anu.edu.au

大學官方來源

services.anu.edu.au

雜湊值與擷取版本

Academic Integrity Rule 2021 for Learners | Services · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

3f2d83db751409c6e737c61bc386189c9dc9e7d8351888e4f044f1c8534ade2d

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

Academic Integrity Rule 2021 (Australian National University)

www.legislation.gov.au

大學官方來源

legislation.gov.au

雜湊值與擷取版本

Academic Integrity Rule 2021 (Australian National University) · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

6376e448c385da241e70efcd784820927273e7048fc613c620878c1edd2c3c00

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗

AI writing detection now available in Turnitin - TELT @ SMP

telt.weblogs.anu.edu.au

大學官方來源

telt.weblogs.anu.edu.au

雜湊值與擷取版本

AI writing detection now available in Turnitin - TELT @ SMP · 2026-10-20T23:13:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

58edd97e0948aea446d1cbeff8d68f841dc1aa0fcabd5df8f82c5d856a4ed78d

Hashes identify a captured version; they do not establish current policy or review approval.

官方來源 ↗
紀錄資訊、JSON 與引用格式

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
v6-target-r7-candidate-20261021
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · Historical baseline

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

  • 主要立法文件 F2021L00997 依於2021年七月制定時的原貌保存(自2021年十二月1日生效)。雖然 ANU Services 現行學習者指引證實 2021 規則仍在運作,但獨立查證2021年至2026年間是否制定任何後續彙編或修正規則的結果,仍保留為明確的時效現行性缺口。
  • 本次審查所檢視的資料未確立獨立的全校性考試AI政策;考試條件取決於各課程的評量大綱與監考人員的指示。
  • 在檢視的官方文集中未查得明確的全校性招生 AI 政策。
  • 繼承而來的主張 claim-anu-002b 文字提到「未經學生同意」,但底層的原始證據片段(「學術人員不得將學生資料或學術作品上傳至生成式 AI 平台。因此,目前無法產生學生回饋」)並未確立教職員回饋可適用學生同意的例外。標準主張文字與原始證據均原樣保留;新的呈現方式嚴格區分教職員上傳限制與使用者個人資料的同意規則。
        Current reviewed JSON
        學生提出的問題

        學生提出的問題

        我可以在課程作業中使用 AI 嗎?

        ANU 將 AI 評量許可授權給各課程協調人。學生必須查閱每門課程的課堂摘要和評量大綱,以了解具體的 AI 規範。未經核准的起草是被禁止的。

        檢視證據 →
        我需要揭露 AI 的使用嗎?

        澳洲國立大學(ANU)法學院的提交作業若使用AI工具,學生必須申報應用程式名稱、用途及使用程度/頻率;申報內容應置於第一個註腳中。其他 ANU 評估則請遵循各課程的特定指示。

        檢視證據 →
        我可以上傳敏感資料嗎?

        教學人員不得將學生資料或學術作業上傳至 GenAI 平台。未經個人明確同意,使用者不得使用 AI 收集、使用、儲存或揭露個人資訊。

        檢視證據 →
        我可以存取哪些工具?

        Microsoft Copilot Enterprise(含商業資料保護)可透過單一登入(SSO)供ANU所有教職員與學生使用。Adobe Firefly則供教職員及特定創意類課程的學員群組使用。

        檢視證據 →
        考試規則是什麼?

        本次審查未能確認澳洲國立大學(ANU)現行中央規定明確允許或禁止在考試中使用生成式 AI。請查閱具體評量的說明;一般的不當行為規定並不構成對考試的全面禁令。

        檢視證據 →
        研究與出版適用哪些規定?

        根據 ANU 圖書館編目的澳洲研究委員會(ARC)政策,申請 ARC 資助的研究人員必須確保申請書的完整性與準確性,並且必須揭露任何生成式 AI 的使用情形。根據 ANU 圖書館編目的美國計算機協會(ACM)政策,例如 ChatGPT 等生成式 AI 工具不得列為 ACM 出版作品的作者;AI 輔助的內容創作必須完整揭露。

        檢視證據 →
        什麼行為算是學術不端?

        根據ANU學術誠信規則2021框架,疑似違規行為透過非正式審查或正式調查處理;學生有權獲得書面通知,並可獲得支援人員協助(例如ANUSA或學務長)。認定結果分為以下幾類:無違規(不留紀錄);學術行為不當(非故意或疏忽;處分包括申誡、重新評量,或將評量成績扣減最多25%,若為本科階段課程修習的前48個學分,則最多扣減10%;記錄於內部,不列於成績單);以及學術不端(嚴重或故意;正式處分最高包括科目不及格、設施使用權遭拒、停學或開除學籍)。

        檢視證據 →
        哪些指引適用於教學?

        鼓勵授課教師設計重視真實學習的評量,並在教學大綱中就生成式 AI 提供清楚的政策。

        檢視證據 →
        適用哪些安全與採購要求?

        凡用於大學業務及/或 ANU 管理裝置上的所有技術解決方案,均須經大學核准。

        檢視證據 →
        此紀錄何時經過核查?

        已核查紀錄:

        紀錄版本 →
        哪些官方來源支援這些規則?官方來源 →
        在哪裡可以閱讀完整證據?

        33 · 完整政策證據

        完整政策證據 →