Policy presence
Hokkaido University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sapporo, Japan
Hokkaido University
Hokkaido University is listed as QS 2026 rank =170. Hokkaido University has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Hokkaido University is listed as QS 2026 rank =170. Hokkaido University has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Hokkaido University as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/hokkaido-university.json. The entity-level confidence is 94%. 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 Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: ChatGPT.
- Teaching, assessment, coursework, or syllabus-related 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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Hokkaido University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Hokkaido University has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Hokkaido University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Hokkaido University has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
Hokkaido University has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Hokkaido University has 3 source-backed public claims for named ai services; deterministic analysis status: recommended.
Teaching guidance
Hokkaido University has 4 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
5 reviewed evidence-backed public claim
Privacy
When generative AI is used to assist with grading submitted assignments, Hokkaido University's notes warn faculty not to enter students' personal or private information because entered data may be stored and output to other users.
Review: Agent reviewed
Normalized value: no_student_personal_private_information_in_genai_grading_assistance
Original evidence
Evidence 1学生の提出した課題の採点補助に生成系AIを用いる場合、システムが利用者の入力したデータを蓄積し、他のユーザに対して出力することも想定されるため、学生の個人情報などプライバシーに関わる情報を入力しないよう留意する。
Localized display only
When generative AI is used to assist grading, faculty should not enter students' personal or private information because input data may be stored and output to other users.
Academic Integrity
For student use, Hokkaido University's notes say students preparing reports and other assignments should follow the instructor's guidance and instructions regarding generative AI use.
Review: Agent reviewed
Normalized value: students_follow_instructor_guidance_for_assignments
Original evidence
Evidence 1授業レポート等の課題作成に当たっては、生成系AI使用に関して、担当教員からの注意、指示に従うこと。
Localized display only
When preparing course reports and other assignments, students should follow the instructor's cautions and instructions regarding generative AI use.
Teaching
For faculty use, Hokkaido University's notes say instructors should explain in advance whether generative AI is permitted in class and how it is restricted, and should consider grading fairness when students use it in assignments or practical learning.
Review: Agent reviewed
Normalized value: faculty_should_explain_permissions_restrictions_and_grading_fairness
Original evidence
Evidence 1授業において学生に対し、生成系AIの使用の許可や制限についてあらかじめ説明し、学生が課題や実習で生成系AIを利用した場合の、成績評価の公平性を保つように配慮する。
Localized display only
Faculty should explain in advance whether generative AI is permitted or restricted in class and should consider grading fairness if students use it in assignments or practical learning.
Ai Tool Treatment
Hokkaido University's 2023 notes encourage faculty and students to explore generative AI methods that can enhance education and learning, while using the technology cautiously in light of educational concerns.
Review: Agent reviewed
Normalized value: encourages_cautious_education_learning_use
Original evidence
Evidence 1本学の教員及び学生のみなさまには、生成系AIの利用に際し、本学の教育理念に照らしながら、このような技術を用いて教育学習を高度化する手法を探究すると同時に、教育利用についての懸念を踏まえ、慎重な利用を心がけてください。
Localized display only
Faculty and students are asked to explore methods for enhancing education and learning with generative AI while using it cautiously in light of educational concerns.
Academic Integrity
Hokkaido University's notes warn students that ChatGPT-like outputs may unknowingly plagiarize internet text, may contain inaccuracies, and may have unclear or inaccurate sources.
Review: Agent reviewed
Normalized value: warns_plagiarism_inaccuracy_unclear_sources
Original evidence
Evidence 1ChatGPT等のツールの出力は、インターネットで収集したテキストを用いたデータベース（コーパス）を用いて作られるため、インターネット上に掲載された他人の文章等を知らないうちに盗用する可能性があることに留意する。
Localized display only
Students should note that outputs from tools such as ChatGPT are generated from internet text corpora and may unknowingly plagiarize other people's writings.
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
1 source attribution
生成系AIの利用に関する留意事項 Notes on the Use of Generative AI
open-ed.hokudai.ac.jp
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.