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 has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
The University of Auckland has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
The University of Auckland has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
The University of Auckland has 5 source-backed public claims for exams; deterministic analysis status: restricted.
The University of Auckland has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
The University of Auckland has 5 source-backed public claims for academic integrity; deterministic analysis status: restricted.
The University of Auckland has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
The University of Auckland has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
The University of Auckland has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
17 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: Two-lane assessment rule: AI restrictions only for controlled Lane 1 tasks; Lane 2 unrestricted
Original evidence
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).
Localized display 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
Normalized value: Courses must label assessment lanes and implement two-lane design by 2027
Original evidence
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.
Localized display only
Courses must identify Lane 1/Lane 2 assessments and implement the two-lane assessment approach by 2027.
Academic Integrity
Normalized value: Student remains author/responsible party for AI-generated assessment work
Original evidence
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.
Localized display only
The student AI advice treats the student prompting AI as the author and responsible for AI-generated work.
Academic Integrity
Normalized value: Gen-AI may be disallowed where it overlaps assessed skills; non-permitted software may breach academic integrity
Original evidence
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.
Localized display 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
Normalized value: University does not endorse third-party AI detection tools
Original evidence
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.
Localized display only
TeachWell states that the University does not endorse third-party AI detection tools.
Academic Integrity
Normalized value: Faculty of Law default prohibition on AI-generated graded assignment content unless explicitly permitted
Original evidence
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).
Localized display 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
Normalized value: AI use must account for University data classification; restricted data not for AI chat services
Original evidence
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.
Localized display only
The public AI Usage Standard explainer says data classification should be assessed before submitting data to AI tools.
Teaching
Normalized value: The University of Auckland says AI use may only be restricted in controlled Lane 1 assessment tasks.
Original evidence
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
Normalized value: The University of Auckland says AI may be used without restriction in Lane 2 assessment tasks.
Original evidence
Evidence 1AI may be used without restriction in all other assessment tasks (Lane 2).
Teaching
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.
Original evidence
Evidence 1All courses and programmes must implement the Two-Lane Approach in assessment design by 2027 unless differently specified by your faculty.
Academic Integrity
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.
Original evidence
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
Normalized value: Auckland Law School says permitted AI use for a specific assignment must be fully and accurately disclosed.
Original evidence
Evidence 1If your instructor permits AI use for a specific assignment, you must disclose all AI use fully and accurately.
Privacy
Normalized value: Auckland Law School tells students not to enter confidential, client, personal, proprietary, copyrighted, or legally protected information into AI tools.
Original evidence
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
Normalized value: Auckland Law School lists university-provided secure AI tools as Microsoft Copilot, Google Gemini, and NotebookLM when signed in with university accounts.
Original evidence
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
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.
Original evidence
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
Normalized value: The University of Auckland says students are not permitted to use AI tools in Lane 1 assessments.
Original evidence
Evidence 1Students are not permitted to use AI tools in Lane 1 assessments.
Ai Tool Treatment
Normalized value: The University of Auckland says students may use AI assistance without restriction in Lane 2 assessments.
Original evidence
Evidence 1Students may use AI to assist them, and this use is not restricted.
0 machine or needs-review claim
10 source attribution
auckland.ac.nz
auckland.ac.nz
auckland.ac.nz
auckland.ac.nz
teachwell.auckland.ac.nz
auckland.ac.nz
auckland.ac.nz
teachwell.auckland.ac.nz
teachwell.auckland.ac.nz
teachwell.auckland.ac.nz