Policy presence
Norwegian University of Life Sciences has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Ås, Norway
Norwegian University of Life Sciences
Norwegian University of Life Sciences has 6 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 19, 2026.
Norwegian University of Life Sciences AI policy short answer
v1 public contract
Norwegian University of Life Sciences has 6 source-backed AI policy claims from 4 official source attributions, including 6 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 19, 2026. Discovery context: Norwegian University of Life Sciences is listed as QS 2026 rank 791-800.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Norwegian University of Life Sciences as an agent-reviewed AI policy record last checked on May 19, 2026 and last changed on May 19, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/norwegian-university-of-life-sciences.json. The entity-level confidence is 96%. 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 Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Named AI services detected in public claims: ChatGPT.
- 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
Norwegian University of Life Sciences has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Norwegian University of Life Sciences has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Norwegian University of Life Sciences has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Norwegian University of Life Sciences has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Norwegian University of Life Sciences has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Norwegian University of Life Sciences has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Norwegian University of Life Sciences has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
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
6 reviewed evidence-backed public claim
Academic Integrity
NMBU's generative AI guidelines require students to clearly indicate how and where AI-based programs have been used, and to account for AI use in assignments or other work submitted for assessment or compulsory activity.
Review: Agent reviewed
Normalized value: ai_use_disclosure_required_for_assessed_work
Original evidence
Evidence 1The student must follow academic norms of honesty, diligence, and openness, and clearly indicate how and where AI-based programs have been used. If the student uses AI-based programs in a submitted assignment or in other work to be submitted for assessment or as a compulsory activity in a course, the student must account for the use.
Ai Tool Treatment
NMBU's generative AI guidelines state that AI-based programs are permitted in accordance with the guidelines, while individual course descriptions may state that AI-based programs are not permitted for exams or other assessed work.
Review: Agent reviewed
Normalized value: ai_permitted_by_guidelines_with_course_level_limits
Original evidence
Evidence 1At NMBU, the use of AI-based programs is permitted in accordance with these guidelines. In the online course description for each individual course, it may be stated that AI-based programs are not permitted for use in exams or in other work submitted for assessment in the course.
Ai Tool Treatment
NMBU's generative AI guidelines state that AI-based programs will normally not be permitted in written examinations on campus; for take-home exams, students must follow the AI-use specifications in the exam paper and course description.
Review: Agent reviewed
Normalized value: campus_written_exams_ai_normally_not_permitted
Original evidence
Evidence 1In written examinations on campus, the use of AI-based programs will normally not be permitted. In take-home exams, of shorter or longer duration, the student must comply with specifications regarding the use of AI given in the individual exam paper and in the course description.
Ai Tool Treatment
NMBU student guidance says each course description should state permitted AI use for assessment and compulsory activities, using three categories: K1 no AI use, K2 specified AI use, and K3 full AI use aligned with NMBU AI guidelines.
Review: Agent reviewed
Normalized value: course_descriptions_use_k1_k2_k3_ai_categories
Original evidence
Evidence 1I emnebeskrivelsen skal det stå informasjon om tillatt bruk av KI i emnet. Dette feltet skal inneholde en beskrivelse av hvordan KI er tillatt brukt ved de forskjellige vurderingsformene og de obligatoriske aktivitetene som emnet har. Det er 3 mulige kategorier av KI-bruk.
Localized display only
The course description should state permitted AI use for the course, including how AI is allowed for different assessment forms and compulsory activities; there are three possible AI-use categories.
Privacy
NMBU's Norwegian student guidance tells students not to use AI to process personal data or sensitive matters.
Review: Agent reviewed
Normalized value: students_should_not_process_personal_data_or_sensitive_matters_with_ai
Original evidence
Evidence 1Det er viktig å: bruke KI som støtte, ikke som erstatning for egen tenkning; kritisk vurdere kvaliteten på svarene du får; alltid oppgi bruk av KI i akademiske arbeider og merk tydelig materiale generert av språkmodeller; ikke bruke KI til å behandle personopplysninger eller sensitive saker.
Localized display only
The page says it is important to use AI as support rather than a substitute for one's own thinking, disclose AI use in academic work, and not use AI to process personal data or sensitive matters.
Academic Integrity
NMBU's Norwegian cheating and plagiarism page warns that incorrect or improper use of AI tools such as ChatGPT can create suspicion of attempted cheating and/or plagiarism, with possible consequences including annulment and exclusion.
Review: Agent reviewed
Normalized value: improper_ai_use_can_trigger_cheating_or_plagiarism_case
Original evidence
Evidence 1Husk at feil bruk av kunstig intelligens (KI)/artificial intelligence (AI) som eks. ChatGPT eller andre kan medføre mistanke om forsøk på fusk og/eller plagiering. Dette kan få alvorlige konsekvenser for deg.
Localized display only
The page warns that incorrect use of AI tools such as ChatGPT can lead to suspicion of attempted cheating and/or plagiarism, with serious consequences.
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
4 source attribution
Fusk og plagiering ved NMBU
nmbu.no
Guidelines for Use of Generative Artificial Intelligence (AI) at NMBU
nmbu.no
Kunstig intelligens (KI), hjelpemidler, sitering og referering
nmbu.no
Permitted aids, AI, write and cite
nmbu.no
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.