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The University of New South Wales (UNSW Sydney)

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Coursework

Conditionally Allowed

Assessment tasks follow transitional period frameworks: six Levels of AI Assistance (No Assistance, Simple Editing Assistance, Planning or Design Assistance, Assistance with Attribution, Generative AI Software-based Assessments, Not Applicable) apply to Term 3 2026, Semester 2 2026, and Hexamester 5 2026; three AI Assessment Modes (Can't Use AI, Can Use AI, Must Use AI) apply to Hexamester 6 2026 and Summer Term 2027. Unless stated otherwise, the Assessment and Feedback Procedure applies from Term 3 2026, Semester 2 2026, and Hexamester 1 2027. Clauses 1.1–1.2 and 1.4 apply from 1 January 2027; clauses 2.1–2.2 and 3.5–3.7 apply from 1 January 2028. Current assessments must follow the instructions for the relevant teaching period and course.

Official source ↗

Exams

Conditionally Allowed

Assessments designated 'No Assistance' or 'Can't Use AI' prohibit generative AI use. Follow the framework and instructions for the relevant teaching period; suspected misuse is handled under the applicable academic integrity procedure.

Official source ↗

Disclosure

Required

Where AI tools are permitted, students must provide clear acknowledgement and citation according to course specifications and referencing guidelines.

Official source ↗

Privacy & sensitive data

Restricted

UNSW's Information Governance Policy applies to students, researchers, research trainees, employees and affiliates; individual procedures may have narrower scope. Its AI procedure requires confidentiality of highly sensitive, sensitive, commercial and personal information and an AI self-assurance assessment before use, except for an approved, deployed enterprise-grade system such as Copilot. Student guidance separately advises against including personal or sensitive information in AI prompts.

Official source ↗

Institutional tools

Conditionally Allowed

The captured UNSW announcement describes ChatGPT Edu access for professional and academic staff, HDR candidates and casual academics, with further student expansion ahead of 2027 described as planned. Mentor AI appears in UNSW College ELICOS guidance. Institutional tool access does not confer permission for a particular assessment.

Official source ↗

Research & publication

Restricted

UNSW Library guidance advises researchers that text and data mining with AI must respect copyright and vendor electronic resource licence terms.

Official source ↗
More reviewed record topics

Academic integrity & procedures

Restricted

UNSW manages academic integrity under the Student Plagiarism Management Procedure across five tiers: Poor scholarship, Minor, Moderate, Significant, and Serious. For Minor plagiarism, the rubric states that a mark reduction should not exceed 10% of the maximum grade available for the assessment task (from plagiarism rubric Appendix 3 footnote 4, not an absolute cap). School authorities manage Poor scholarship and Minor through Significant cases. Serious cases must be referred to the Conduct & Integrity Office (CIO) as potential student misconduct, with potential outcomes ranging from task/course failure to suspension or exclusion (not automatic penalties). Actions outside the outcomes available for a level require CIO approval, and repeated instances may also be escalated to student misconduct. For School-level outcomes notified under clause 4.3(a), an internal review request must be made within 20 business days of that notice and is limited to procedural fairness, not the merits. Serious cases follow the separate CIO process.

Official source ↗

Teaching guidance

Recommended

UNSW has developed an AI capability framework that aims to guide teaching staff with the knowledge and skills to navigate an AI-driven academic environment. Retained Staff Teaching Gateway evidence describes categories of permitted AI use to support assessment design, distinguishing the six Levels of AI Assistance for Term 3, Semester 2 and Hexamester 5 in 2026 from three AI Assessment Modes for Hexamester 6 2026 and Summer Term 2027.

Official source ↗

Security & procurement

Review required

UNSW's Information Governance Policy applies broadly to students, researchers, research trainees, employees, and affiliates, though associated procedures may specify a narrower scope. Under the Use of Artificial Intelligence Systems or Tools Procedure, users must maintain confidentiality of highly sensitive, sensitive, commercial, and personal information throughout the data management lifecycle. Prior to using any AI system or tool, an AI self-assurance assessment must be conducted, with an exception for approved, deployed enterprise-grade systems such as Microsoft Copilot.

Official source ↗

Before you submit

Do

  • Check the AI framework for your teaching period and each assessment: six Levels apply to Term 3, Semester 2 and Hexamester 5 in 2026; three Modes apply to Hexamester 6 in 2026 and Summer Term 2027.
    Requirement in this scope
  • Provide clear acknowledgement and referencing when generative AI tools are permitted and used in assessable tasks.
    Requirement in this scope
  • For School-level outcomes under clause 4.3(a), email a procedural-fairness review request to the Head of School or delegate within 20 business days of the outcome notice. Serious cases follow the separate CIO process.
    Source guidance

Don’t

  • Do not use generative AI in assessments marked 'No Assistance' or 'Can't Use AI'; follow the relevant teaching-period framework and assessment instructions.
    Requirement in this scope
  • Where the UNSW AI governance procedure applies, do not use AI without the required self-assurance assessment; approved, deployed enterprise-grade systems such as Copilot are exempt. Maintain confidentiality of highly sensitive, sensitive, commercial and personal information.
    Requirement in this scope
  • Do not assume institutional rollout (such as Copilot or ChatGPT Edu) conveys blanket permission for course assignments or examinations.
    Source guidance

AI use questioned?

The University of New South Wales (UNSW Sydney)

Student Plagiarism Management Procedure; Assessment and Feedback Procedure; Information Governance Procedure; Library TDM Guidance. Institution audit remains PARTIAL.

Investigation & response

UNSW's formal Student Plagiarism Management Procedure uses the levels Poor scholarship, Minor, Moderate, Significant and Serious, with generative AI misuse assessed according to the applicable rubric. Poor scholarship and Minor/Moderate/Significant cases are managed by the School; Serious cases must be referred to the Conduct & Integrity Office (CIO) as potential student misconduct. For Minor plagiarism, the rubric says a mark reduction should not exceed 10% of the maximum grade available. Listed outcomes for Serious cases include failing the work or course, suspension and permanent exclusion; these are possible outcomes, not automatic consequences of every unauthorised AI use. Actions outside the outcomes available for a level require CIO approval, and repeated instances may also be handled as student misconduct.

Original evidence and scope

UNSW's formal Student Plagiarism Management Procedure uses the levels Poor scholarship, Minor, Moderate, Significant and Serious, with generative AI misuse assessed according to the applicable rubric. Poor scholarship and Minor/Moderate/Significant cases are managed by the School; Serious cases must be referred to the Conduct & Integrity Office (CIO) as potential student misconduct. For Minor plagiarism, the rubric says a mark reduction should not exceed 10% of the maximum grade available. Listed outcomes for Serious cases include failing the work or course, suspension and permanent exclusion; these are possible outcomes, not automatic consequences of every unauthorised AI use. Actions outside the outcomes available for a level require CIO approval, and repeated instances may also be handled as student misconduct.

claim-unsw-sydney-18
2.2. According to the UNSW plagiarism evaluation rubric: a. ‘Poor scholarship’, ‘Minor’, ’Moderate’ and ‘Significant’ will be managed by the School according to sections 3-5 below; or b. ‘Serious’ will be referred by the Course Authority (following consultation with the SSIA) or the SSIA to UNSW Conduct & Integrity Office (CIO), to manage as a potential Student Misconduct according to the Complaints Management and Investigations Policy & Procedure.

physical page 6; lines 237-243; Student Plagiarism Management Procedure, Section 2, Clause 2.2

Official university source ↗
Appendix 3: UNSW Student Plagiarism Evaluation Rubric The following rubric should be applied to work/ piece of assessment submitted where plagiarism has been detected. Poor scholarship and Minor/ Moderate/ Significant levels of plagiarism are to be managed by Schools according to sections 3 to 7 of the Student Plagiarism Management Procedure. Any action or outcome that is outside of what is available below for the respective levels MUST be approved by the Conduct and Integrity Office (CIO). Plagiarism identified at the Serious level must be referred to UNSW Conduct and Integrity Office to managed according to the UNSW Complaints Management and Investigations Policy & Procedure.

physical page 14; lines 587-593; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Introduction

Official university source ↗
Serious8 • The whole/almost the whole of the work Applied by the CIO according to the Fail the submitted has been plagiarised; and/or UNSW Complaints Management and course • Copying or collusion where the whole/ almost Investigations Policy & Procedure, (may only the whole of the work submitted is possible outcomes include: be applied identical/almost identical to work submitted by • Fail (0%) for the work9

physical page 15; lines 704-721; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Serious Level Row; excerpt offset 0–700

Official university source ↗
by the CIO, another student, and/or • Fail (0% or 00FL) for the course10 where • Suspension from the University appropriat • All or a large part of the work submitted was the e) work of another person, and/ or • Permanent exclusion from the University • Evidence of a

physical page 15; lines 704-721; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Serious Level Row; excerpt offset 700–1400

Official university source ↗
deliberate attempt to disguise plagiarism including through misuse of generative AI, and/or • Evidence of contract cheating occurred, and/or • Serious misuse of generative AI e.g. whole/ almost whole sections of the work, including all key learning points, contain generative AI output, against assessment guidelines.

physical page 15; lines 704-721; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Serious Level Row; excerpt offset 1400–1881

Official university source ↗
8 The Course Authority and/or SSIA will identify if plagiarism level is ‘Serious’ and then refer the matter to UNSW Conduct and Integrity Office to be handled as potential Student Misconduct under the Complaints Management and Investigations Policy & Procedure

physical page 15; lines 733-735; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Footnote 8

Official university source ↗
4 The mark reduction for Minor Plagiarism should not be more than 10% of the maximum grade available. For example, if a student is found to have committed minor plagiarism, the penalty should not reduce their grade by more than 10% of the highest possible mark they could have received. For example, if the maximum mark for an assignment is 100 points, the reduction for minor plagiarism should not exceed 10 points.

physical page 14; lines 651-655; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Footnote 4

Official university source ↗
8.2. Repeated instances of plagiarism by a student may constitute a breach of the UNSW Code of Conduct and Values and will be managed by UNSW Conduct & Integrity Office as an allegation of Student Misconduct according to the UNSW Complaints Management and Investigations Policy & Procedure. If the repeated instance occurs in the first year of study, the behaviour may be considered as a misunderstanding of the academic standards required, however a warning notice will be issued reminding the student of their obligations to maintain academic integrity. 8.3. Repeated instances of plagiarism, regardless of level, where a warning not

physical page 7; lines 311-319; Student Plagiarism Management Procedure, Section 8, Clauses 8.2-8.3; excerpt offset 0–700

Official university source ↗
ice has been already issued, may be considered Student Misconduct.

physical page 7; lines 311-319; Student Plagiarism Management Procedure, Section 8, Clauses 8.2-8.3; excerpt offset 700–777

Official university source ↗

UNSW's teacher guidance describes preliminary checks and consultation for suspected AI writing. Under the formal Student Plagiarism Management Procedure, the Course Authority or SSIA should notify the student in writing of detected Poor scholarship/Minor/Moderate/Significant plagiarism and proposed academic action; the student has 5 business days to respond. For these School-level outcomes, an internal review must be emailed to the Head of School or delegate within 20 business days of the Notification of Outcome under clause 4.3(a). Review is limited to procedural fairness, not the merits. The reviewer must not have participated in the initial decision; the student is to be notified of the review outcome within 10 business days of receipt of the review request. Serious cases follow the separate CIO process; these School-level deadlines must not be presented as deadlines for every serious-misconduct case.

Original evidence and scope

UNSW's teacher guidance describes preliminary checks and consultation for suspected AI writing. Under the formal Student Plagiarism Management Procedure, the Course Authority or SSIA should notify the student in writing of detected Poor scholarship/Minor/Moderate/Significant plagiarism and proposed academic action; the student has 5 business days to respond. For these School-level outcomes, an internal review must be emailed to the Head of School or delegate within 20 business days of the Notification of Outcome under clause 4.3(a). Review is limited to procedural fairness, not the merits. The reviewer must not have participated in the initial decision; the student is to be notified of the review outcome within 10 business days of receipt of the review request. Serious cases follow the separate CIO process; these School-level deadlines must not be presented as deadlines for every serious-misconduct case.

claim-unsw-sydney-17
Step 1: Initial checks... Step 2: Check the signs... Step 3: Discuss with the student... Step 4: Contact your SSIA for further assistance... Step 5: Contact the Conduct & Integrity Office

Staff Teaching Gateway historical guidance context

Official university source ↗
3.1. The Course Authority or SSIA should advise the student in writing of poor scholarship/ minor/ moderate/ significant level detected and proposed academic action (Template 2, Appendix 4). 3.2. The student will have 5 business days to provide a response.

physical page 6; lines 247-250; Student Plagiarism Management Procedure, Section 3, Clauses 3.1-3.2

Official university source ↗
4.3. The Course Authority will: a. notify the student by email of the outcome and any action to be taken (Template 3, Appendix 4);

physical page 6; lines 264-265; Student Plagiarism Management Procedure, Section 4, Clause 4.3(a)

Official university source ↗
6.1. A student may only lodge an internal review on the ground that the process followed by the School in determining poor scholarship or plagiarism lacked procedural fairness. 6.2. The purpose or scope of the internal review will not extend to a review of the merits of the decision. 6.3. Internal reviews must be submitted by email to the Head of School or delegate within 20 business days of the Notification of Outcome referred to in section 4.3(a) above.

physical page 7; lines 289-295; Student Plagiarism Management Procedure, Section 6, Clauses 6.1-6.3

Official university source ↗
7.1. The Head of School or their delegate, who was not involved in the initial decision-making process, will consider the internal review request and determine the outcome. 7.2. The student is to be notified by the Head of School or their delegate of the outcome of the internal review within 10 business days of receipt of the internal review request. The notification should include any action to be taken where an internal review is upheld (see Template 5, Appendix D).

physical page 7; lines 299-304; Student Plagiarism Management Procedure, Section 7, Clauses 7.1-7.2

Official university source ↗
2.2. According to the UNSW plagiarism evaluation rubric: a. ‘Poor scholarship’, ‘Minor’, ’Moderate’ and ‘Significant’ will be managed by the School according to sections 3-5 below; or b. ‘Serious’ will be referred by the Course Authority (following consultation with the SSIA) or the SSIA to UNSW Conduct & Integrity Office (CIO), to manage as a potential Student Misconduct according to the Complaints Management and Investigations Policy & Procedure.

physical page 6; lines 237-243; Student Plagiarism Management Procedure, Section 2, Clause 2.2

Official university source ↗
Appendix 3: UNSW Student Plagiarism Evaluation Rubric The following rubric should be applied to work/ piece of assessment submitted where plagiarism has been detected. Poor scholarship and Minor/ Moderate/ Significant levels of plagiarism are to be managed by Schools according to sections 3 to 7 of the Student Plagiarism Management Procedure. Any action or outcome that is outside of what is available below for the respective levels MUST be approved by the Conduct and Integrity Office (CIO). Plagiarism identified at the Serious level must be referred to UNSW Conduct and Integrity Office to managed according to the UNSW Complaints Management and Investigations Policy & Procedure.

physical page 14; lines 587-593; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Introduction

Official university source ↗
8 The Course Authority and/or SSIA will identify if plagiarism level is ‘Serious’ and then refer the matter to UNSW Conduct and Integrity Office to be handled as potential Student Misconduct under the Complaints Management and Investigations Policy & Procedure

physical page 15; lines 733-735; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Footnote 8

Official university source ↗

Possible outcomes

UNSW's formal Student Plagiarism Management Procedure uses the levels Poor scholarship, Minor, Moderate, Significant and Serious, with generative AI misuse assessed according to the applicable rubric. Poor scholarship and Minor/Moderate/Significant cases are managed by the School; Serious cases must be referred to the Conduct & Integrity Office (CIO) as potential student misconduct. For Minor plagiarism, the rubric says a mark reduction should not exceed 10% of the maximum grade available. Listed outcomes for Serious cases include failing the work or course, suspension and permanent exclusion; these are possible outcomes, not automatic consequences of every unauthorised AI use. Actions outside the outcomes available for a level require CIO approval, and repeated instances may also be handled as student misconduct.

Original evidence and scope

UNSW's formal Student Plagiarism Management Procedure uses the levels Poor scholarship, Minor, Moderate, Significant and Serious, with generative AI misuse assessed according to the applicable rubric. Poor scholarship and Minor/Moderate/Significant cases are managed by the School; Serious cases must be referred to the Conduct & Integrity Office (CIO) as potential student misconduct. For Minor plagiarism, the rubric says a mark reduction should not exceed 10% of the maximum grade available. Listed outcomes for Serious cases include failing the work or course, suspension and permanent exclusion; these are possible outcomes, not automatic consequences of every unauthorised AI use. Actions outside the outcomes available for a level require CIO approval, and repeated instances may also be handled as student misconduct.

claim-unsw-sydney-18
2.2. According to the UNSW plagiarism evaluation rubric: a. ‘Poor scholarship’, ‘Minor’, ’Moderate’ and ‘Significant’ will be managed by the School according to sections 3-5 below; or b. ‘Serious’ will be referred by the Course Authority (following consultation with the SSIA) or the SSIA to UNSW Conduct & Integrity Office (CIO), to manage as a potential Student Misconduct according to the Complaints Management and Investigations Policy & Procedure.

physical page 6; lines 237-243; Student Plagiarism Management Procedure, Section 2, Clause 2.2

Official university source ↗
Appendix 3: UNSW Student Plagiarism Evaluation Rubric The following rubric should be applied to work/ piece of assessment submitted where plagiarism has been detected. Poor scholarship and Minor/ Moderate/ Significant levels of plagiarism are to be managed by Schools according to sections 3 to 7 of the Student Plagiarism Management Procedure. Any action or outcome that is outside of what is available below for the respective levels MUST be approved by the Conduct and Integrity Office (CIO). Plagiarism identified at the Serious level must be referred to UNSW Conduct and Integrity Office to managed according to the UNSW Complaints Management and Investigations Policy & Procedure.

physical page 14; lines 587-593; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Introduction

Official university source ↗
Serious8 • The whole/almost the whole of the work Applied by the CIO according to the Fail the submitted has been plagiarised; and/or UNSW Complaints Management and course • Copying or collusion where the whole/ almost Investigations Policy & Procedure, (may only the whole of the work submitted is possible outcomes include: be applied identical/almost identical to work submitted by • Fail (0%) for the work9

physical page 15; lines 704-721; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Serious Level Row; excerpt offset 0–700

Official university source ↗
by the CIO, another student, and/or • Fail (0% or 00FL) for the course10 where • Suspension from the University appropriat • All or a large part of the work submitted was the e) work of another person, and/ or • Permanent exclusion from the University • Evidence of a

physical page 15; lines 704-721; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Serious Level Row; excerpt offset 700–1400

Official university source ↗
deliberate attempt to disguise plagiarism including through misuse of generative AI, and/or • Evidence of contract cheating occurred, and/or • Serious misuse of generative AI e.g. whole/ almost whole sections of the work, including all key learning points, contain generative AI output, against assessment guidelines.

physical page 15; lines 704-721; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Serious Level Row; excerpt offset 1400–1881

Official university source ↗
8 The Course Authority and/or SSIA will identify if plagiarism level is ‘Serious’ and then refer the matter to UNSW Conduct and Integrity Office to be handled as potential Student Misconduct under the Complaints Management and Investigations Policy & Procedure

physical page 15; lines 733-735; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Footnote 8

Official university source ↗
4 The mark reduction for Minor Plagiarism should not be more than 10% of the maximum grade available. For example, if a student is found to have committed minor plagiarism, the penalty should not reduce their grade by more than 10% of the highest possible mark they could have received. For example, if the maximum mark for an assignment is 100 points, the reduction for minor plagiarism should not exceed 10 points.

physical page 14; lines 651-655; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Footnote 4

Official university source ↗
8.2. Repeated instances of plagiarism by a student may constitute a breach of the UNSW Code of Conduct and Values and will be managed by UNSW Conduct & Integrity Office as an allegation of Student Misconduct according to the UNSW Complaints Management and Investigations Policy & Procedure. If the repeated instance occurs in the first year of study, the behaviour may be considered as a misunderstanding of the academic standards required, however a warning notice will be issued reminding the student of their obligations to maintain academic integrity. 8.3. Repeated instances of plagiarism, regardless of level, where a warning not

physical page 7; lines 311-319; Student Plagiarism Management Procedure, Section 8, Clauses 8.2-8.3; excerpt offset 0–700

Official university source ↗
ice has been already issued, may be considered Student Misconduct.

physical page 7; lines 311-319; Student Plagiarism Management Procedure, Section 8, Clauses 8.2-8.3; excerpt offset 700–777

Official university source ↗

Review & appeal

UNSW's teacher guidance describes preliminary checks and consultation for suspected AI writing. Under the formal Student Plagiarism Management Procedure, the Course Authority or SSIA should notify the student in writing of detected Poor scholarship/Minor/Moderate/Significant plagiarism and proposed academic action; the student has 5 business days to respond. For these School-level outcomes, an internal review must be emailed to the Head of School or delegate within 20 business days of the Notification of Outcome under clause 4.3(a). Review is limited to procedural fairness, not the merits. The reviewer must not have participated in the initial decision; the student is to be notified of the review outcome within 10 business days of receipt of the review request. Serious cases follow the separate CIO process; these School-level deadlines must not be presented as deadlines for every serious-misconduct case.

Original evidence and scope

UNSW's teacher guidance describes preliminary checks and consultation for suspected AI writing. Under the formal Student Plagiarism Management Procedure, the Course Authority or SSIA should notify the student in writing of detected Poor scholarship/Minor/Moderate/Significant plagiarism and proposed academic action; the student has 5 business days to respond. For these School-level outcomes, an internal review must be emailed to the Head of School or delegate within 20 business days of the Notification of Outcome under clause 4.3(a). Review is limited to procedural fairness, not the merits. The reviewer must not have participated in the initial decision; the student is to be notified of the review outcome within 10 business days of receipt of the review request. Serious cases follow the separate CIO process; these School-level deadlines must not be presented as deadlines for every serious-misconduct case.

claim-unsw-sydney-17
Step 1: Initial checks... Step 2: Check the signs... Step 3: Discuss with the student... Step 4: Contact your SSIA for further assistance... Step 5: Contact the Conduct & Integrity Office

Staff Teaching Gateway historical guidance context

Official university source ↗
3.1. The Course Authority or SSIA should advise the student in writing of poor scholarship/ minor/ moderate/ significant level detected and proposed academic action (Template 2, Appendix 4). 3.2. The student will have 5 business days to provide a response.

physical page 6; lines 247-250; Student Plagiarism Management Procedure, Section 3, Clauses 3.1-3.2

Official university source ↗
4.3. The Course Authority will: a. notify the student by email of the outcome and any action to be taken (Template 3, Appendix 4);

physical page 6; lines 264-265; Student Plagiarism Management Procedure, Section 4, Clause 4.3(a)

Official university source ↗
6.1. A student may only lodge an internal review on the ground that the process followed by the School in determining poor scholarship or plagiarism lacked procedural fairness. 6.2. The purpose or scope of the internal review will not extend to a review of the merits of the decision. 6.3. Internal reviews must be submitted by email to the Head of School or delegate within 20 business days of the Notification of Outcome referred to in section 4.3(a) above.

physical page 7; lines 289-295; Student Plagiarism Management Procedure, Section 6, Clauses 6.1-6.3

Official university source ↗
7.1. The Head of School or their delegate, who was not involved in the initial decision-making process, will consider the internal review request and determine the outcome. 7.2. The student is to be notified by the Head of School or their delegate of the outcome of the internal review within 10 business days of receipt of the internal review request. The notification should include any action to be taken where an internal review is upheld (see Template 5, Appendix D).

physical page 7; lines 299-304; Student Plagiarism Management Procedure, Section 7, Clauses 7.1-7.2

Official university source ↗
2.2. According to the UNSW plagiarism evaluation rubric: a. ‘Poor scholarship’, ‘Minor’, ’Moderate’ and ‘Significant’ will be managed by the School according to sections 3-5 below; or b. ‘Serious’ will be referred by the Course Authority (following consultation with the SSIA) or the SSIA to UNSW Conduct & Integrity Office (CIO), to manage as a potential Student Misconduct according to the Complaints Management and Investigations Policy & Procedure.

physical page 6; lines 237-243; Student Plagiarism Management Procedure, Section 2, Clause 2.2

Official university source ↗
Appendix 3: UNSW Student Plagiarism Evaluation Rubric The following rubric should be applied to work/ piece of assessment submitted where plagiarism has been detected. Poor scholarship and Minor/ Moderate/ Significant levels of plagiarism are to be managed by Schools according to sections 3 to 7 of the Student Plagiarism Management Procedure. Any action or outcome that is outside of what is available below for the respective levels MUST be approved by the Conduct and Integrity Office (CIO). Plagiarism identified at the Serious level must be referred to UNSW Conduct and Integrity Office to managed according to the UNSW Complaints Management and Investigations Policy & Procedure.

physical page 14; lines 587-593; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Introduction

Official university source ↗
8 The Course Authority and/or SSIA will identify if plagiarism level is ‘Serious’ and then refer the matter to UNSW Conduct and Integrity Office to be handled as potential Student Misconduct under the Complaints Management and Investigations Policy & Procedure

physical page 15; lines 733-735; Appendix 3: UNSW Student Plagiarism Evaluation Rubric, Footnote 8

Official university source ↗

AI tools & access

  • ChatGPT EduOfficial recommendationConditions apply

    Not specified in reviewed sources; follow the applicable UNSW institutional rollout.

  • Microsoft Copilot ChatInstitutional access / licenceRecorded as allowed in the source scope

    Sign in at Microsoft Copilot with zID@ad.unsw.edu.au, zPass, and MFA.

  • Mentor AIOfficial recommendationConditions apply

    Provided in the UNSW College student-guidance context; specific account provisioning not stated.

  • Microsoft CopilotTool mentioned; institutional access not establishedRecorded as allowed in the source scope
Record updatesLast 90 days · Recorded updates: 5

Updates to this site's reviewed record, not confirmation that the university changed its policy.

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Reviewed claims

40

Official sources

14 official URLs; 16 source attributions and their captured versions retained.

Are you aware of UNSW's new AI principles? | Inside UNSW

www.inside.unsw.edu.au

University official source

inside.unsw.edu.au

Hash and captured version

Are you aware of UNSW's new AI principles? | Inside UNSW · 2026-05-06T04:55:45Z

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

d4f62e3d035e16bcf2620ee3ad7f1dfc3694f5b41f4f68bb73f6ccd53902a9bf

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

Official source ↗

Guidance on AI in assessment | UNSW Staff Teaching Gateway

www.teaching.unsw.edu.au

University official source

teaching.unsw.edu.au

Hash and captured version

Guidance on AI in assessment | UNSW Staff Teaching Gateway · 2026-05-06T04:55:45Z

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

33409d5e6c59361d2c259aa714cb2e0ca305a12d15d50af6eb77229a05e06e61

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

Official source ↗

Helping you guide your students | UNSW Staff Teaching Gateway

www.teaching.unsw.edu.au

University official source

teaching.unsw.edu.au

Hash and captured version

Helping you guide your students | UNSW Staff Teaching Gateway · 2026-05-06T04:55:45Z

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

2fb44fd83942ce5729dfc30b56ed295ca2883a13d06441b427ca9b6acfc841ca

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

Official source ↗

June update: Generative AI at UNSW

www.education.unsw.edu.au

University official source

education.unsw.edu.au

Hash and captured version

June update: Generative AI at UNSW · 2026-05-06T04:55:45Z

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

1096262dab754a5ea23a65f1479127c13267baf1d621c2fb21bc82125ac62b72

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

Official source ↗

Student AI Guidelines | UNSW College Current Students Website

my.unswcollege.edu.au

University official source

my.unswcollege.edu.au

Hash and captured version

Student AI Guidelines | UNSW College Current Students Website · 2026-05-06T04:55:45Z

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

480942a7fc762dbe43a517aeae7df90d5d042ca01cb56f314c0cc36bd115dc2a

Student AI Guidelines | UNSW College Current Students Website · 2026-06-04T13:10:00.000Z

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

12ae53670bcd950ebf1e0194c3d1a04cfe914b9cac429beae58530f1f3e9bb07

Student AI Guidelines | UNSW College Current Students Website · 2026-09-24T12:51:47.575Z

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

80e2bd611a7a0fcfa1fa137d77ef2c3b02e3e420a60b14a483c363f73baac0f4

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

Official source ↗

UNSW's AI Guidelines and Framework | UNSW Staff Teaching Gateway

www.teaching.unsw.edu.au

University official source

teaching.unsw.edu.au

Hash and captured version

UNSW's AI Guidelines and Framework | UNSW Staff Teaching Gateway · 2026-05-06T04:55:45Z

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

57b772b4148fa35277a60538cbc8175d07caf290a51ab057206f4b17b5cf5639

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

Official source ↗

Using AI in university | Current Students – UNSW Sydney

www.unsw.edu.au

University official source

unsw.edu.au

Hash and captured version

Using AI in university | Current Students – UNSW Sydney · 2026-05-06T04:55:45Z

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

4704ba661be84136e6a699c4c456d300349b5ac06faf2b965655c75a4aebc44a

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

Official source ↗

Using Copilot Chat | MyIT - UNSW

www.unsw.edu.au

University official source

unsw.edu.au

Hash and captured version

Using Copilot Chat | MyIT - UNSW · 2026-07-15T19:49:43.896Z

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

7dc6944cec54319fdf8d1eaf55c057ae31f19f3410746ac94b4ecde7b34405b5

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

Official source ↗

Plagiarism Policy and Student Plagiarism Management Procedure

www.unsw.edu.au

University official source

UNSW Sydney Governance / Academic Board

Hash and captured version

Plagiarism Policy and Student Plagiarism Management Procedure · 2026-10-18T20:15:27Z

SHA-256 of the retained capture file bytes.

64e2e0275c0ce6785a2c45d67d733e87bc8bd7ef43ec489fd30257581918ea88

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Official source ↗

Why UNSW is adopting a new approach to assessment | Inside UNSW

www.inside.unsw.edu.au

University official source

UNSW Education / Inside UNSW

Hash and captured version

Why UNSW is adopting a new approach to assessment | Inside UNSW · 2026-10-18T20:15:32Z

SHA-256 of the retained capture file bytes.

30524c28c59b6f8ff53bd6ba4c2458b5907ee70f2d50062167a987c51d7c148d

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

Official source ↗

Assessment and Feedback Procedure within the Assessment and Progression Policy hub

www.unsw.edu.au

University official source

UNSW Governance / Vice-Chancellor and President

Hash and captured version

Assessment and Feedback Procedure within the Assessment and Progression Policy hub · 2026-10-18T20:15:33Z

SHA-256 of the retained capture file bytes.

077c4e4a67d7274e2c5ac8f19bc9c620b5277ff2a0b66110da9788df957c66d2

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

Official source ↗

UNSW partners with OpenAI to support the first generation of AI-capable graduates | UNSW Newsroom

www.unsw.edu.au

University official source

UNSW Newsroom / Deputy Vice-Chancellor Education and Student Experience

Hash and captured version

UNSW partners with OpenAI to support the first generation of AI-capable graduates | UNSW Newsroom · 2026-10-18T20:15:34Z

SHA-256 of the retained capture file bytes.

07a5ddf54a54daca0b9efc28112e086dbd6aea11ba4eb985ab9410cd3a196af4

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Official source ↗

Information Governance Policy and Section 6 Use of AI Systems or Tools Procedure

www.unsw.edu.au

University official source

UNSW Operations / Chief Information Officer

Hash and captured version

Information Governance Policy and Section 6 Use of AI Systems or Tools Procedure · 2026-10-18T20:15:34Z

SHA-256 of the retained capture file bytes.

7ec4f719288fc0d328a2547c3b3957476c90cf043f223b401ec22c4d60f348ea

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

Official source ↗

Artificial intelligence (AI) - Working with AI, TDM and APIs - Library guides at UNSW Library

subjectguides.library.unsw.edu.au

University official source

UNSW Library

Hash and captured version

Artificial intelligence (AI) - Working with AI, TDM and APIs - Library guides at UNSW Library · 2026-10-18T20:15:34Z

SHA-256 of the retained capture file bytes.

ff2c06444730490a9aaf5640f7c09424a4fe85a13b19f90899ab142ffb1a674e

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

Official source ↗
Record information, JSON & citation

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
qs20-24-v6-r7-20261020
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.

          Current reviewed JSON
          Questions students ask

          Questions students ask

          Can I use AI for my coursework?

          Assessment tasks follow transitional period frameworks: six Levels of AI Assistance (No Assistance, Simple Editing Assistance, Planning or Design Assistance, Assistance with Attribution, Generative AI Software-based Assessments, Not Applicable) apply to Term 3 2026, Semester 2 2026, and Hexamester 5 2026; three AI Assessment Modes (Can't Use AI, Can Use AI, Must Use AI) apply to Hexamester 6 2026 and Summer Term 2027. Unless stated otherwise, the Assessment and Feedback Procedure applies from Term 3 2026, Semester 2 2026, and Hexamester 1 2027. Clauses 1.1–1.2 and 1.4 apply from 1 January 2027; clauses 2.1–2.2 and 3.5–3.7 apply from 1 January 2028. Current assessments must follow the instructions for the relevant teaching period and course.

          View evidence →
          Do I need to disclose AI use?

          Where AI tools are permitted, students must provide clear acknowledgement and citation according to course specifications and referencing guidelines.

          View evidence →
          Can I upload sensitive data?

          UNSW's Information Governance Policy applies to students, researchers, research trainees, employees and affiliates; individual procedures may have narrower scope. Its AI procedure requires confidentiality of highly sensitive, sensitive, commercial and personal information and an AI self-assurance assessment before use, except for an approved, deployed enterprise-grade system such as Copilot. Student guidance separately advises against including personal or sensitive information in AI prompts.

          View evidence →
          Which tools can I access?

          The captured UNSW announcement describes ChatGPT Edu access for professional and academic staff, HDR candidates and casual academics, with further student expansion ahead of 2027 described as planned. Mentor AI appears in UNSW College ELICOS guidance. Institutional tool access does not confer permission for a particular assessment.

          View evidence →
          What are the examination rules?

          Assessments designated 'No Assistance' or 'Can't Use AI' prohibit generative AI use. Follow the framework and instructions for the relevant teaching period; suspected misuse is handled under the applicable academic integrity procedure.

          View evidence →
          What rules apply to research and publication?

          UNSW Library guidance advises researchers that text and data mining with AI must respect copyright and vendor electronic resource licence terms.

          View evidence →
          What counts as academic misconduct?

          UNSW manages academic integrity under the Student Plagiarism Management Procedure across five tiers: Poor scholarship, Minor, Moderate, Significant, and Serious. For Minor plagiarism, the rubric states that a mark reduction should not exceed 10% of the maximum grade available for the assessment task (from plagiarism rubric Appendix 3 footnote 4, not an absolute cap). School authorities manage Poor scholarship and Minor through Significant cases. Serious cases must be referred to the Conduct & Integrity Office (CIO) as potential student misconduct, with potential outcomes ranging from task/course failure to suspension or exclusion (not automatic penalties). Actions outside the outcomes available for a level require CIO approval, and repeated instances may also be escalated to student misconduct. For School-level outcomes notified under clause 4.3(a), an internal review request must be made within 20 business days of that notice and is limited to procedural fairness, not the merits. Serious cases follow the separate CIO process.

          View evidence →
          What guidance applies to teaching?

          UNSW has developed an AI capability framework that aims to guide teaching staff with the knowledge and skills to navigate an AI-driven academic environment. Retained Staff Teaching Gateway evidence describes categories of permitted AI use to support assessment design, distinguishing the six Levels of AI Assistance for Term 3, Semester 2 and Hexamester 5 in 2026 from three AI Assessment Modes for Hexamester 6 2026 and Summer Term 2027.

          View evidence →
          What security and procurement requirements apply?

          UNSW's Information Governance Policy applies broadly to students, researchers, research trainees, employees, and affiliates, though associated procedures may specify a narrower scope. Under the Use of Artificial Intelligence Systems or Tools Procedure, users must maintain confidentiality of highly sensitive, sensitive, commercial, and personal information throughout the data management lifecycle. Prior to using any AI system or tool, an AI self-assurance assessment must be conducted, with an exception for approved, deployed enterprise-grade systems such as Microsoft Copilot.

          View evidence →
          When was this record checked?

          Record checked:

          Record version →
          Which official sources support these rules?Official source →
          Where can I read the full evidence?

          40 · Full policy evidence

          Full policy evidence →
          The University of New South Wales (UNSW Sydney) AI Policy