Auckland, New Zealand Last checked Jul 19, 2026

The University of Auckland

Independent · Open access · Not an official university page

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Can I use AI for my coursework?Conditions and evidence gaps Do I need to disclose AI use?Conditions and evidence gaps Can I upload sensitive data?Conditions and evidence gaps Which tools can I access?Conditions and evidence gaps

Use in ChatGPT ↗Before you submitAdvice and precautions Record updates ↓

Explore the current record by topic

Coursework

Conditions and evidence gaps

The Two-Lane Approach distinguishes controlled Lane 1 from Lane 2. Law School separately prohibits listed AI in graded work unless a specific assignment permits it.

Official source ↗

Exams

Conditions and evidence gaps

AI tools are not permitted in Lane 1 assessments; Lane 2 allows AI assistance. Confirm the lane and any applicable faculty rules.

Official source ↗

Disclosure

Conditions and evidence gaps

Law School requires full and accurate disclosure where a specific assignment permits AI; students remain responsible for submissions.

Official source ↗

Privacy and data

Conditions and evidence gaps

Law School says not to enter confidential, client, personal, proprietary, copyrighted or legally protected information into AI.

Official source ↗

Institutional tools

Conditions and evidence gaps

University services include Copilot, Gemini and NotebookLM using university accounts; secure access does not cancel assessment restrictions.

Official source ↗

Research and publication

Conditions and evidence gaps

The current reviewed Claims do not specify a publication AI-use rule. Check the relevant journal or research-unit instructions.

Official source ↗

Academic integrity

Conditions and evidence gaps

Students remain responsible; using software not permitted for the assessment may breach academic integrity.

Official source ↗

Teaching guidance

Conditions and evidence gaps

Courses must identify Lane 1 and Lane 2 assessments; programmes implement the design by 2027 unless the faculty specifies otherwise.

Official source ↗

Security and procurement

Conditions and evidence gaps

The current reviewed Claims do not specify an AI security-review or procurement procedure.

Official source ↗

Additional source context

Context only

These supplementary source quotations provide context. Use the current published Claims for the rule and its applicable scope.

Frozen record evidence

Historical input context

These earlier records provide context; no current investigation, sanction or appeal deadline is established by the published Claims.

Academic conduct procedures

Scoped excerpts; source-byte gaps remain

These earlier records provide context; no current investigation, sanction or appeal deadline is established by the published Claims.

Do

Confirm the assessment lane and applicable faculty instructions.
Site advice
Confirm the assessment lane and applicable faculty instructions.
Scope
The university Two-Lane Approach and Law School graded-assignment rules must be read together in their own scopes; implementation is due by 2027 unless specified otherwise.
The University of Auckland's Assessment of Courses Procedures state that AI use in assessment tasks may only be restricted when the task is a controlled assessment, identified as Lane 1; AI may be used without restriction in other assessment tasks, identified as Lane 2.
Original evidence and scope
The University of Auckland's Assessment of Courses Procedures state that AI use in assessment tasks may only be restricted when the task is a controlled assessment, identified as Lane 1; AI may be used without restriction in other assessment tasks, identified as Lane 2.
claim-auckland-001
In accordance with the University's two-lane approach, the use of artificial intelligence (AI) in assessment tasks may only be restricted if the assessment task is a controlled assessment (lane 1). AI may be used without restriction in all other assessment tasks (lane 2).
Assessment design, item 7
Official university source ↗
For permitted Law School assignment AI, disclose use fully and accurately.
Requirement in this scope
For permitted Law School assignment AI, disclose use fully and accurately.
Scope
The university Two-Lane Approach and Law School graded-assignment rules must be read together in their own scopes; implementation is due by 2027 unless specified otherwise.
Auckland Law School says permitted AI use for a specific assignment must be fully and accurately disclosed.
Original evidence and scope
Auckland Law School says permitted AI use for a specific assignment must be fully and accurately disclosed.
claim-university-of-auckland-024
If your instructor permits AI use for a specific assignment, you must disclose all AI use fully and accurately.
disclosure requirements section
Official university source ↗
Remain responsible for the work you submit.
Requirement in this scope
Remain responsible for the work you submit.
Scope
The university Two-Lane Approach and Law School graded-assignment rules must be read together in their own scopes; implementation is due by 2027 unless specified otherwise.
The University of Auckland's student AI advice states that AI has no agency, treats the student prompting an AI tool as the author, and says students are ultimately responsible for work submitted for assessment.
Original evidence and scope
The University of Auckland's student AI advice states that AI has no agency, treats the student prompting an AI tool as the author, and says students are ultimately responsible for work submitted for assessment.
claim-auckland-003
The university takes the position that AI has no agency. What this means is that the student who is prompting the AI tool is to be treated as the author. As the author, each student is responsible for the work generated by the AI tool, and this may include expressly acknowledging the use of the tool.
Artificial Intelligence in assessment
Official university source ↗

Don’t

Do not use AI in Lane 1 assessments.
Requirement in this scope
Do not use AI in Lane 1 assessments.
Scope
The university Two-Lane Approach and Law School graded-assignment rules must be read together in their own scopes; implementation is due by 2027 unless specified otherwise.
The University of Auckland says students are not permitted to use AI tools in Lane 1 assessments.
Original evidence and scope
The University of Auckland says students are not permitted to use AI tools in Lane 1 assessments.
claim-university-of-auckland-028
Students are not permitted to use AI tools in Lane 1 assessments.
Lane 1 section
Official university source ↗
Do not ignore the Law School’s separate graded-assignment restriction.
Site advice
Do not ignore the Law School’s separate graded-assignment restriction.
Scope
The university Two-Lane Approach and Law School graded-assignment rules must be read together in their own scopes; implementation is due by 2027 unless specified otherwise.
Auckland Law School says the graded-assignment AI prohibition applies to tools including ChatGPT, Claude, Gemini, DeepSeek, Microsoft Copilot, xAI, and similar tools.
Original evidence and scope
Auckland Law School says the graded-assignment AI prohibition applies to tools including ChatGPT, Claude, Gemini, DeepSeek, Microsoft Copilot, xAI, and similar tools.
claim-university-of-auckland-023
This prohibition applies to all generative AI systems, including but not limited to ChatGPT, Claude, Gemini, DeepSeek, Microsoft Copilot, xAI and similar tools.
key principle section
Official university source ↗
Under Law School rules, do not enter protected information into AI.
Requirement in this scope
Under Law School rules, do not enter protected information into AI.
Scope
The university Two-Lane Approach and Law School graded-assignment rules must be read together in their own scopes; implementation is due by 2027 unless specified otherwise.
Auckland Law School tells students not to enter confidential, client, personal, proprietary, copyrighted, or legally protected information into AI tools.
Original evidence and scope
Auckland Law School tells students not to enter confidential, client, personal, proprietary, copyrighted, or legally protected information into AI tools.
claim-university-of-auckland-025
Do not enter: Confidential information... Client information... Personal information... Proprietary information... Copyrighted course materials... Information protected by privacy laws or professional duties.
privacy and confidentiality section
Official university source ↗

AI use questioned?Investigation, possible outcomes and appeal

AI tools & access

No source-backed tool record has been established for this university yet. This does not mean AI tools are unavailable or prohibited.

Record updatesLast 90 days · Recorded updates: 3

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

2026-10-27Page update
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2026-10-25Record maintenance
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2026-10-25Record maintenance
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Reviewed claims

Official sources

8 official URLs; 11 source attributions and their captured versions retained.

Advice for students on using Artificial Intelligence

www.auckland.ac.nz

University official source

auckland.ac.nz

Hash and captured version

Advice for students on using Artificial Intelligence · 2026-05-23T18:20:00.000Z

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

681059c6e06e7d6b2c4ae25fea4dbc57d5212c66d446dcef40373236d6bcb468

Advice for students on using Artificial Intelligence · 2026-05-13T01:54:13Z

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

af6afff22fcf6c0427f63b00f846e70d644cd2437239e65f88baa3f28f51d1cd

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

Official source ↗

Assessment of Courses Procedures

www.auckland.ac.nz

University official source

auckland.ac.nz

Hash and captured version

Assessment of Courses Procedures · 2026-05-13T01:54:13Z

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

cb08abc2372ce4a0201f7356b9e0f452ec6982a0a69869161eda38c4571162d7

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

Official source ↗

Generative Artificial Intelligence (Gen AI)

www.auckland.ac.nz

University official source

auckland.ac.nz

Hash and captured version

Generative Artificial Intelligence (Gen AI) · 2026-07-15T22:22:43.896Z

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

5baf2e617b5430ace6c4234440dad1a30cba51b72cd17f97b51fa380c108d1c3

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

Official source ↗

Guidelines on permitted use of software in assessment activities

www.auckland.ac.nz

University official source

auckland.ac.nz

Hash and captured version

Guidelines on permitted use of software in assessment activities · 2026-05-13T01:54:13Z

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

443060225a8b30765c052ee58663057ed1240a64b6cf18ca70c6dd4b34e8077f

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

Official source ↗

Learn about the University's AI Usage Standard

teachwell.auckland.ac.nz

University official source

teachwell.auckland.ac.nz

Hash and captured version

Learn about the University's AI Usage Standard · 2026-05-13T01:54:13Z

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

06a9e04ba9faec6b2fb33ff8c410d865105706b75a19d8fcc1e0d0bd058709c4

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

Official source ↗

Student guidelines for using Artificial Intelligence (AI) in taught courses

www.auckland.ac.nz

University official source

auckland.ac.nz

Hash and captured version

Student guidelines for using Artificial Intelligence (AI) in taught courses · 2026-05-23T18:20:00.000Z

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

8bc2a31021263ac98b61f9a4b9d64233653ebc5f929bed9e738cbca59a1e123b

Student guidelines for using Artificial Intelligence (AI) in taught courses · 2026-05-13T01:54:13Z

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

f9903aef06d5f226dc4e15034ea1a052ae7143cfb815bd037e6fd11f7bb919d5

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

Official source ↗

The use of AI tools in coursework

teachwell.auckland.ac.nz

University official source

teachwell.auckland.ac.nz

Hash and captured version

The use of AI tools in coursework · 2026-05-13T01:54:13Z

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

a616a2d91bceea48c70c1e8e81f1852f8919b2c899d82e3ed8a39dcdd96f4cf9

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

Official source ↗

Two-Lane Approach to assessment

teachwell.auckland.ac.nz

University official source

teachwell.auckland.ac.nz

Hash and captured version

Two-Lane Approach to assessment · 2026-05-23T18:20:00.000Z

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

55496d6f9eb63c002c07e8a4a39bde95db1d217c40da0f1b31692bcbfdb3c8a7

Two-Lane Approach to assessment · 2026-05-13T01:54:13Z

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

761944312730600aaab8f00ff627cef0f2e8d0f7501379beab4f682aab771aac

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: public-release-20260924-002
Dataset release: public-release-20260924-002
Correction published: 2026-09-24T23:31:02.306Z
Student snapshot: Pending independent agent review; not an approved snapshot

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.

Institution-wide evidence audit remains PARTIAL. Supplementary quotations are not independently verified by this presentation release.
Current JSON and MCP retain the previous public Claim set. Local candidate corrections and held decisions remain private and pending review.
Source excerpts retain their declared capture limitations. Original official HTTP/PDF bytes were not verified by this release.
Institutional semantic audit remains PARTIAL. Student-facing display is derived from existing published Claims; no new institutional tool record, source verification or strong snapshot approval.

Current reviewed JSON

Questions students ask

Can I use AI for my coursework?

The Two-Lane Approach distinguishes controlled Lane 1 from Lane 2. Law School separately prohibits listed AI in graded work unless a specific assignment permits it.

View evidence →

Do I need to disclose AI use?

Law School requires full and accurate disclosure where a specific assignment permits AI; students remain responsible for submissions.

View evidence →

Can I upload sensitive data?

Law School says not to enter confidential, client, personal, proprietary, copyrighted or legally protected information into AI.

View evidence →

Which tools can I access?

University services include Copilot, Gemini and NotebookLM using university accounts; secure access does not cancel assessment restrictions.

View evidence →

What are the examination rules?

AI tools are not permitted in Lane 1 assessments; Lane 2 allows AI assistance. Confirm the lane and any applicable faculty rules.