Policy presence
The University of New South Wales (UNSW Sydney) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sydney, Australia
The University of New South Wales (UNSW Sydney)
The University of New South Wales (UNSW Sydney) has 29 source-backed AI policy claims from 7 official source attributions. Review state: agent reviewed; 29 reviewed claims. Last checked May 6, 2026.
The University of New South Wales (UNSW Sydney) AI policy short answer
v1 public contract
The University of New South Wales (UNSW Sydney) has 29 source-backed AI policy claims from 7 official source attributions, including 29 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 6, 2026. Discovery context: The University of New South Wales (UNSW Sydney) is listed as QS 2026 rank 20.
Citation-ready summary
As of this public record, University AI Policy Tracker lists The University of New South Wales (UNSW Sydney) as an agent-reviewed AI policy record last checked on May 6, 2026 and last changed on May 6, 2026. The record contains 29 source-backed claims, including 29 reviewed claims, from 7 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/unsw-sydney.json. The entity-level confidence is 98%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Other policy claims.
- Named AI services detected in public claims: ChatGPT, Microsoft Copilot, Grammarly.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
The University of New South Wales (UNSW Sydney) has 5 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
The University of New South Wales (UNSW Sydney) has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
The University of New South Wales (UNSW Sydney) has 1 source-backed public claim for exams; deterministic analysis status: required.
Privacy and data entry
The University of New South Wales (UNSW Sydney) has 5 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
The University of New South Wales (UNSW Sydney) has 4 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
The University of New South Wales (UNSW Sydney) has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
The University of New South Wales (UNSW Sydney) has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
The University of New South Wales (UNSW Sydney) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
The University of New South Wales (UNSW Sydney) has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
The University of New South Wales (UNSW Sydney) has 1 source-backed public claim for security and procurement; deterministic analysis status: required.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
29 reviewed evidence-backed public claim
Other
UNSW uses a Levels of AI Assistance framework with six categories for assessments: No Assistance, Simple Editing Assistance, Planning or Design Assistance, Assistance with Attribution, Generative AI Software-based Assessments, and Not Applicable.
Review: Agent reviewed
原始证据
Evidence 1The Levels of AI Assistance framework is designed to help convenors communicate to students how much, or how little AI can be used in the process of planning, creating and producing an assignment.
Other
UNSW defines six high-level categories for permitted AI use in assessments: No Assistance, Simple Editing Assistance, Planning/Design Assistance, Assistance with Attribution, Generative AI Software-based Assessments, and Not Applicable.
Review: Agent reviewed
原始证据
Evidence 1Based on extensive feedback across UNSW, six high-level categories have been defined for assessments that include some degree of AI use, as well as an additional category for assessments where AI is unlikely to be used.
Other
Under UNSW's 'No Assistance' level, students are not permitted to use any generative AI tools, software, or service to search for or generate information or answers.
Review: Agent reviewed
原始证据
Evidence 1This assessment is designed for you to complete without the use of any generative AI. You are not permitted to use any generative AI tools, software or service to search for or generate information or answers.
Other
At UNSW, the unauthorised or unacknowledged use of AI in assessments is classified as cheating and considered student misconduct under the Code of Conduct and Values.
Review: Agent reviewed
原始证据
Evidence 1The unauthorised or unacknowledged use of AI in assessments is a form of cheating and is considered to be student misconduct at UNSW under the current Code of Conduct and Values.
Other
UNSW has published six AI principles: AI use must benefit UNSW and society; be equitable and respectful of human rights; be trustworthy, safe, and reliable; be transparent; be identifiable, explainable, and contestable; and be secure and resilient.
Review: Agent reviewed
原始证据
Evidence 1The use of AI systems at UNSW benefits UNSW, individuals, society, and the environment. The use of AI systems at UNSW is equitable, and respectful of human rights, diversity, inclusivity, and accessibility. AI systems and their lifecycle at UNSW are trustworthy and are used responsibly, safely, and reliably in accordance with their intended purpose. The use of AI systems is transparent, and people understand when the AI system is engaging with or impacting them, the environment, and/or society. AI systems and their lifecycle used at UNSW are identifiable, explainable, interpretable, accountable, and contestable. AI systems and their lifecycle used at UNSW are secure and resilient.
Other
UNSW's first key principle for AI in assessment requires staff to be honest and transparent about the use of any AI tool where it would reasonably be expected that use of the tool would be disclosed.
Review: Agent reviewed
原始证据
Evidence 1Be honest and transparent about the use of any AI tool where it would reasonably be expected that use of the tool would be disclosed.
Other
UNSW's second key principle for AI in assessment requires that any AI-based output must be reviewed with all due diligence before being released or relied upon, particularly to avoid bias and factual errors.
Review: Agent reviewed
原始证据
Evidence 1Ensure that any AI-based output is reviewed with all due diligence before being released or relied upon. This is particularly important to ensure that you avoid bias and factual errors in the output.
Other
UNSW states that as a rule, markers must not use AI platforms for marking or grading student work.
Review: Agent reviewed
原始证据
Evidence 1As a rule, markers must not use AI platforms for marking or grading.
Other
UNSW only authorises the use of Turnitin's AI Writing Detection Tool for detecting improper AI use in student work; UNSW IT has not approved other detection tools due to privacy and accuracy concerns.
Review: Agent reviewed
原始证据
Evidence 1UNSW only authorises the use of Turnitin's AI Writing Detection Tool for detecting improper AI use. Students' work should not be uploaded to any other platform because: Only Turnitin has been approved by UNSW Cyber Security as protecting student privacy. The accuracy of other detection tools is extremely low.
Other
Where unauthorised AI use in an assessment is admitted or determined at UNSW, a finding of serious student misconduct is made as a breach of Principle 3 of the Student Code of Conduct, with penalties consistent with Serious Student Misconduct and Serious Plagiarism (typically 00FL for the course, suspension, or exclusion).
Review: Agent reviewed
原始证据
Evidence 1Where the unauthorised use of AI in an assessment is admitted or determined, a finding of serious student misconduct is made – as a breach of Principle 3 of the Student Code of Conduct which states that students must act with integrity, honesty and trust. The penalties for a finding of this sort would be consistent with the penalties for Serious Student Misconduct and Serious Plagiarism – they would normally sit at 00FL for the course, suspension or exclusion depending on the matter.
Other
UNSW requires that students must follow assessment instructions regarding AI use, that what students present must be their own work, and that students must acknowledge all sources including AI as an external source using proper referencing.
Review: Agent reviewed
原始证据
Evidence 1Students must follow the assessment instructions... What students present must be their own work... Students must acknowledge sources. Students should attribute all sources using proper referencing, unless the assessment nature or instructions exempt them from doing so. External sources that must be referenced include both the work of others and sources from digital or physical objects, with AI classified as an external source.
Other
UNSW College students may only use AI for an assessment if the instructions in the Course Outline permit its use.
Review: Agent reviewed
原始证据
Evidence 1You may use AI for an assessment if the instructions in your Course Outline permit its use.
Other
UNSW College requires that if AI is permitted for an assessment, students must acknowledge and reference the AI tool using the referencing style for their course and program (e.g., APA Style Referencing 7th edition).
Review: Agent reviewed
原始证据
Evidence 1If you are permitted to use AI for part or all of your assessment, you must: Acknowledge and reference the AI tool using the referencing style for your course and program. For example, APA Style Referencing 7th edition.
Other
UNSW penalties for unauthorised AI use in assessments may include a fail grade, a mark of zero for the course, suspension, or permanent exclusion.
Review: Agent reviewed
原始证据
Evidence 1If you have been found to use AI in a manner that does not meet the course instructions, penalties may occur which would include a fail, a mark of zero for the course, suspension or permanent exclusion.
Other
UNSW advises students given permission to use AI in assessments to always clearly acknowledge that use when planning, designing, or writing their assessment.
Review: Agent reviewed
原始证据
Evidence 1If you are given permission and wish to use AI in the process of planning, designing, or writing your assessment, you should always clearly acknowledge this.
Other
UNSW requires that when ChatGPT or other forms of GenAI are accepted as part of an assessment, academics must ensure the tools are easily accessible for all students with no physical, geographical, or financial restrictions.
Review: Agent reviewed
原始证据
Evidence 1When ChatGPT or other forms of GenAI are accepted as part of an assessment, academics must ensure that they are easily accessible for everyone. There must be no physical, geographical or financial restrictions on students' use of the tool.
Other
UNSW's investigation process for suspected improper AI use involves five steps: initial sense-check, checking signs of AI writing, discussing with the student, contacting the School Student Integrity Adviser (SSIA), and referral to the Conduct & Integrity Office.
Review: Agent reviewed
原始证据
Evidence 1Step 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
Other
UNSW states that students are entitled to use generative AI to the extent specified by course instructions or university rules, and that assessment instructions should set out acceptable use of AI tools.
Review: Agent reviewed
原始证据
Evidence 1Students are entitled to use generative AI to the extent specified by the course instructions or university rules. All assessment instructions should set out the acceptable use of AI tools.
Other
UNSW College recommends Microsoft Copilot as the only generative AI platform for staff and students, as it provides commercial data protection and is the only platform recommended where generative AI use is allowed in coursework and assessment.
Review: Agent reviewed
原始证据
Evidence 1UNSW College recommend that students use the College Microsoft Copilot AI Tool... Where the use of generative AI is allowed as part of coursework and/or assessment, this is the only generative AI platform recommended for UNSW College staff and students.
Other
UNSW provides academics with access to Turnitin's AI detection tool for assessments submitted through Moodle Turnitin Assignment or Inspera, but notes this is not always conclusive evidence of improper AI use.
Review: Agent reviewed
原始证据
Evidence 1All academics marking assessments submitted through either Moodle Turnitin Assignment or Inspera now have access to Turnitin's new AI detection tool. This provides academics with an estimated percentage of text that has similarities to AI-generated or AI-paraphrased text. This is not always conclusive evidence that a student has inappropriately used generative AI, however, this will be a flag for a marker to further review a student's submission.
Other
UNSW classifies Grammarly, Quillbot, and translation tools such as Google Translate, DeepL, and Baidu Translate as forms of generative AI.
Review: Agent reviewed
原始证据
Evidence 1It's important that students are aware of what tools use generative AI and may be inappropriate in an assessment. For example, Grammarly, Quillbot and translation tools such as Google Translate, DeepL and Baidu Translate are forms of generative AI.
Other
UNSW advises students not to include any personal or sensitive information in AI prompts, including addresses, names, emails, zID, or intellectual property, and recommends using Microsoft Copilot with a UNSW account for data privacy.
Review: Agent reviewed
原始证据
Evidence 1Protect personal information. Do not include any personal or sensitive information in prompts, your own or other people's (i.e. addresses, name, emails, zID or intellectual property). For data privacy and protection, use Microsoft Copilot using your UNSW account
Other
UNSW has developed an AI capability framework for teaching staff covering common knowledge (what is AI, prompts, evaluating outputs), AI governance, ethical and responsible use, assessment and learning, and technology (Microsoft Copilot, Adobe Firefly, Scite.ai).
Review: Agent reviewed
原始证据
Evidence 1To equip our staff to meet the university's evolving AI needs, UNSW has developed a framework that aims to guide staff with the knowledge and skills to navigate in an AI-driven academic environment.
Other
UNSW activated Microsoft Copilot with Commercial Data Protection for all staff and students with a zID in May 2024, providing a secure platform where sensitive information is stored and accessed only by authorised staff.
Review: Agent reviewed
原始证据
Evidence 1In May 2024, UNSW activated Microsoft Copilot with Commercial Data Protection for all staff and students with a zID. The protected version provides staff and students with a secure platform to ensure that sensitive information is securely stored and accessed only by authorised staff.
Other
UNSW College permits AI tools for refining writing only when an AI assessment icon indicates it is allowed, for purposes including refining spelling and grammar, revising style and tone, improving clarity, improving vocabulary, checking similarity, assisting proofreading, and self-marking against a rubric.
Review: Agent reviewed
原始证据
Evidence 1If an AI assessment icon says you can refine your writing with AI tools or as a copyediting tool, you may be permitted to use these tools for the following: Refine spelling and grammar. Revise style and tone. Improve clarity and coherence of writing. Improve vocabulary. Check your document for similarity to online sources. Assist in proofreading. Self-mark an assessment against a marking rubric.
Other
UNSW warns students that generative AI tools may produce invalid or unreliable information ('fabrications' or 'hallucinations') and advises them to verify the accuracy of AI outputs.
Review: Agent reviewed
原始证据
Evidence 1Verify accuracy of AI outputs. GenAI tools could produce invalid or unreliable information ('fabrications' or 'hallucinations'). Book an appointment with the Academic Skills team if you need guidance.
Other
UNSW has an AI leadership group that serves as a clearinghouse for critical issues and strategic initiatives and plays a pivotal role in guiding enterprise decisions on AI.
Review: Agent reviewed
原始证据
Evidence 1UNSW has an AI leadership group that serves as an overall clearinghouse for addressing critical issues and strategic initiatives. It plays a pivotal role in guiding enterprise decisions.
Other
UNSW has adopted Microsoft Copilot, Adobe Firefly, and Scite.ai as its approved AI tools for staff use.
Review: Agent reviewed
原始证据
Evidence 1Identification and practical application of adopted AI tools at UNSW: Microsoft Copilot, Adobe Firefly, Scite.ai
Other
UNSW's AI Leadership Group endorsed and published principles on the Ethical and Responsible Use of Artificial Intelligence at UNSW in 2024, designed to regulate AI use, support a positive approach, and promote world-leading AI research.
Review: Agent reviewed
原始证据
Evidence 1UNSW's AI Leadership Group has recently endorsed and published principles on the Ethical and Responsible Use of Artificial Intelligence at UNSW. These are to be used to steer and support the use of AI and generative AI appropriately at the University. UNSW aims to provide a safe and digitally secure environment relating to the use of generative AI, for both students and staff. The principles are designed to regulate the use of AI (including generative AI), support a positive approach to and promote world-leading AI research.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
7 source attribution
Are you aware of UNSW's new AI principles? | Inside UNSW
inside.unsw.edu.au
Guidance on AI in assessment | UNSW Staff Teaching Gateway
teaching.unsw.edu.au
Helping you guide your students | UNSW Staff Teaching Gateway
teaching.unsw.edu.au
June update: Generative AI at UNSW
education.unsw.edu.au
Student AI Guidelines | UNSW College Current Students Website
my.unswcollege.edu.au
UNSW's AI Guidelines and Framework | UNSW Staff Teaching Gateway
teaching.unsw.edu.au
Using AI in university | Current Students – UNSW Sydney
unsw.edu.au
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.