Policy presence
The University of Auckland has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Auckland, New Zealand
The University of Auckland
The University of Auckland has 17 source-backed AI policy claims from 10 official source attributions. Review state: agent reviewed; 17 reviewed claims. Last checked May 23, 2026.
The University of Auckland AI policy short answer
v1 public contract
The University of Auckland has 17 source-backed AI policy claims from 10 official source attributions, including 17 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 23, 2026. Discovery context: The University of Auckland is listed as QS 2026 rank 65.
Citation-ready summary
As of this public record, University AI Policy Tracker lists The University of Auckland as an agent-reviewed AI policy record last checked on May 23, 2026 and last changed on May 23, 2026. The record contains 17 source-backed claims, including 17 reviewed claims, from 10 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-auckland.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 AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Named AI services detected in public claims: ChatGPT, DeepSeek, Microsoft Copilot, Claude, Gemini.
- 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 Auckland has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
The University of Auckland has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
The University of Auckland has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
The University of Auckland has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
The University of Auckland has 5 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
The University of Auckland has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
The University of Auckland has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
The University of Auckland has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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
17 reviewed evidence-backed public claim
Ai Tool Treatment
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.
Review: Agent reviewed
Normalized value: Two-lane assessment rule: AI restrictions only for controlled Lane 1 tasks; Lane 2 unrestricted
Oorspronkelijk bewijs
Evidence 1In 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).
Gelokaliseerde weergave only
The assessment procedure limits AI restrictions to controlled Lane 1 assessments and says AI may be used without restriction in Lane 2 tasks.
Teaching
The University of Auckland's Assessment of Courses Procedures require courses to use the two-lane nomenclature, including telling students which assessments align with Lane 1 or Lane 2, and require courses and programmes to implement the two-lane approach in assessment design by 2027.
Review: Agent reviewed
Normalized value: Courses must label assessment lanes and implement two-lane design by 2027
Oorspronkelijk bewijs
Evidence 1Courses must use nomenclature of the two-lane approach, including specifying to students which assessments align with lane 1 or lane 2. Courses and programmes will be required to implement the two-lane approach in assessment design by 2027.
Gelokaliseerde weergave only
Courses must identify Lane 1/Lane 2 assessments and implement the two-lane assessment approach by 2027.
Academic Integrity
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.
Review: Agent reviewed
Normalized value: Student remains author/responsible party for AI-generated assessment work
Oorspronkelijk bewijs
Evidence 1The 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.
Gelokaliseerde weergave only
The student AI advice treats the student prompting AI as the author and responsible for AI-generated work.
Academic Integrity
The University of Auckland's permitted-software assessment guideline says Gen-AI may not be permitted for assessment activities where the assessed skills overlap with functions performed by Gen-AI, and says use of non-permitted software may be considered a breach of academic integrity.
Review: Agent reviewed
Normalized value: Gen-AI may be disallowed where it overlaps assessed skills; non-permitted software may breach academic integrity
Oorspronkelijk bewijs
Evidence 1Generative AI (Gen-AI) may not be permitted for assessment activities where the skills assessed overlap with functions performed by Gen-AI. Use of software which is not permitted may be considered a breach of academic integrity and of the Student Academic Conduct Statute.
Gelokaliseerde weergave only
The guideline says Gen-AI may be non-permitted where it overlaps assessed skills, and non-permitted software use may breach academic integrity.
Ai Tool Treatment
The University of Auckland TeachWell two-lane assessment guidance says the University does not endorse third-party AI detection tools, citing unreliability, false positives, and possible student-data training risks.
Review: Agent reviewed
Normalized value: University does not endorse third-party AI detection tools
Oorspronkelijk bewijs
Evidence 1The University of Auckland does not endorse the use of third-party AI detection tools, as these may be unreliable, create false positives, and may use student data to train their models.
Gelokaliseerde weergave only
TeachWell states that the University does not endorse third-party AI detection tools.
Academic Integrity
Auckland Law School's student AI guidelines for taught courses state that using AI to generate, draft, or assist in creating content for graded assignments is prohibited unless the instructor explicitly permits it in writing.
Review: Agent reviewed
Normalized value: Faculty of Law default prohibition on AI-generated graded assignment content unless explicitly permitted
Oorspronkelijk bewijs
Evidence 1The use of AI to generate, draft, or assist in creating content for any graded assignment is prohibited, unless your instructor explicitly permits otherwise in writing (in your course outline or on Canvas).
Gelokaliseerde weergave only
Auckland Law School says AI-generated or AI-assisted content for graded assignments is prohibited unless the instructor explicitly permits it in writing.
Privacy
The University of Auckland's public TeachWell explainer for the AI Usage Standard says users should assess data against the University's data classification before submitting it to an AI tool, and says restricted data should not be used with AI chat services.
Review: Agent reviewed
Normalized value: AI use must account for University data classification; restricted data not for AI chat services
Oorspronkelijk bewijs
Evidence 1For example, it requires you to assess any data according to the University's data classification before you submit the data to an AI tool. The University has four data classifications: public, internal, sensitive, restricted. You should only use AI tools that are appropriate for the type of data you're working with.
Gelokaliseerde weergave only
The public AI Usage Standard explainer says data classification should be assessed before submitting data to AI tools.
Teaching
The University of Auckland says AI use may only be restricted in controlled Lane 1 assessment tasks.
Review: Agent reviewed
Normalized value: The University of Auckland says AI use may only be restricted in controlled Lane 1 assessment tasks.
Oorspronkelijk bewijs
Evidence 1The use of artificial intelligence (AI) in assessment tasks may only be restricted if the assessment task is a controlled assessment (Lane 1).
Ai Tool Treatment
The University of Auckland says AI may be used without restriction in Lane 2 assessment tasks.
Review: Agent reviewed
Normalized value: The University of Auckland says AI may be used without restriction in Lane 2 assessment tasks.
Oorspronkelijk bewijs
Evidence 1AI may be used without restriction in all other assessment tasks (Lane 2).
Teaching
The University of Auckland says all courses and programmes must implement the Two-Lane Approach in assessment design by 2027 unless a faculty specifies otherwise.
Review: Agent reviewed
Normalized value: The University of Auckland says all courses and programmes must implement the Two-Lane Approach in assessment design by 2027 unless a faculty specifies otherwise.
Oorspronkelijk bewijs
Evidence 1All courses and programmes must implement the Two-Lane Approach in assessment design by 2027 unless differently specified by your faculty.
Academic Integrity
Auckland Law School says the graded-assignment AI prohibition applies to tools including ChatGPT, Claude, Gemini, DeepSeek, Microsoft Copilot, xAI, and similar tools.
Review: Agent reviewed
Normalized value: Auckland Law School says the graded-assignment AI prohibition applies to tools including ChatGPT, Claude, Gemini, DeepSeek, Microsoft Copilot, xAI, and similar tools.
Oorspronkelijk bewijs
Evidence 1This prohibition applies to all generative AI systems, including but not limited to ChatGPT, Claude, Gemini, DeepSeek, Microsoft Copilot, xAI and similar tools.
Academic Integrity
Auckland Law School says permitted AI use for a specific assignment must be fully and accurately disclosed.
Review: Agent reviewed
Normalized value: Auckland Law School says permitted AI use for a specific assignment must be fully and accurately disclosed.
Oorspronkelijk bewijs
Evidence 1If your instructor permits AI use for a specific assignment, you must disclose all AI use fully and accurately.
Privacy
Auckland Law School tells students not to enter confidential, client, personal, proprietary, copyrighted, or legally protected information into AI tools.
Review: Agent reviewed
Normalized value: Auckland Law School tells students not to enter confidential, client, personal, proprietary, copyrighted, or legally protected information into AI tools.
Oorspronkelijk bewijs
Evidence 1Do not enter: Confidential information... Client information... Personal information... Proprietary information... Copyrighted course materials... Information protected by privacy laws or professional duties.
Ai Tool Treatment
Auckland Law School lists university-provided secure AI tools as Microsoft Copilot, Google Gemini, and NotebookLM when signed in with university accounts.
Review: Agent reviewed
Normalized value: Auckland Law School lists university-provided secure AI tools as Microsoft Copilot, Google Gemini, and NotebookLM when signed in with university accounts.
Oorspronkelijk bewijs
Evidence 1The University provides access to generative AI tools with enhanced privacy protection when you sign in with your University account: Microsoft Copilot... Google Gemini... NotebookLM.
Teaching
The University of Auckland uses a Two-Lane Approach that distinguishes controlled assessments where AI use is restricted from other assessments where AI may be used.
Review: Agent reviewed
Normalized value: The University of Auckland uses a Two-Lane Approach that distinguishes controlled assessments where AI use is restricted from other assessments where AI may be used.
Oorspronkelijk bewijs
Evidence 1The two-lane approach differentiates between controlled assessments where AI use is restricted, and other assessments where AI may be used.
Ai Tool Treatment
The University of Auckland says students are not permitted to use AI tools in Lane 1 assessments.
Review: Agent reviewed
Normalized value: The University of Auckland says students are not permitted to use AI tools in Lane 1 assessments.
Oorspronkelijk bewijs
Evidence 1Students are not permitted to use AI tools in Lane 1 assessments.
Ai Tool Treatment
The University of Auckland says students may use AI assistance without restriction in Lane 2 assessments.
Review: Agent reviewed
Normalized value: The University of Auckland says students may use AI assistance without restriction in Lane 2 assessments.
Oorspronkelijk bewijs
Evidence 1Students may use AI to assist them, and this use is not restricted.
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
10 source attribution
Advice for students on using Artificial Intelligence
auckland.ac.nz
Advice for students on using Artificial Intelligence
auckland.ac.nz
Assessment of Courses Procedures
auckland.ac.nz
Guidelines on permitted use of software in assessment activities
auckland.ac.nz
Learn about the University's AI Usage Standard
teachwell.auckland.ac.nz
Student guidelines for using Artificial Intelligence (AI) in taught courses
auckland.ac.nz
Student guidelines for using Artificial Intelligence (AI) in taught courses
auckland.ac.nz
The use of AI tools in coursework
teachwell.auckland.ac.nz
Two-Lane Approach to assessment
teachwell.auckland.ac.nz
Two-Lane Approach to assessment
teachwell.auckland.ac.nz
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.