Policy presence
University of Helsinki has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Helsinki, Finland
University of Helsinki
University of Helsinki is listed as QS 2026 rank =116. University of Helsinki has 5 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Helsinki is listed as QS 2026 rank =116. University of Helsinki has 5 source-backed AI policy claim records from 5 official source attributions. 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 University of Helsinki as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 5 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-helsinki.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 Academic integrity claims.
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- Named AI services detected in public claims: Microsoft Copilot.
- 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
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
University of Helsinki has 2 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
University of Helsinki has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Helsinki has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Helsinki has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
Approved tools
University of Helsinki has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
University of Helsinki has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Helsinki has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Helsinki has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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
Academic Integrity
University of Helsinki student guidance treats prohibited use of large language models, or failing to report their use as instructed, as cheating; the cheating and plagiarism guidance also lists presenting AI-generated text or solutions as one's own as plagiarism.
Review: Agent reviewed
Normalized value: prohibited_or_unreported_ai_use_can_be_academic_misconduct
Original evidence
Evidence 1If you use a large language model in a course, part of a course or examination where it is prohibited in advance, please note that this constitutes cheating.
Original evidence
Evidence 2Plagiarism includes the following: Presenting text or solutions generated by artificial intelligence as one's own.
Research
University of Helsinki research guidance supports responsible and critical use of GenAI in research, but says researchers are responsible for outputs, should verify them, describe substantial GenAI use, and must not list GenAI as a co-author.
Review: Agent reviewed
Normalized value: research_genai_responsibility_verification_transparency_no_coauthor
Original evidence
Evidence 1Researchers are responsible for their own use of GenAI ... you must always verify the output of GenAI ... When substantially using GenAI in your research, indicate the name of the tool and the version used.
Teaching
University of Helsinki guidance says large language models may generally be used in teaching and writing support, while course teachers can restrict or prohibit use on pedagogical grounds and AI cannot be used in maturity tests.
Review: Agent reviewed
Normalized value: general_use_allowed_with_course_restrictions_and_maturity_test_ban
Original evidence
Evidence 1As a rule, large language models may be used in teaching and in support of writing. On pedagogical grounds, course teachers can restrict or prohibit the use of large language models on their courses. In maturity tests, the use of large language models is not permitted.
Privacy
University of Helsinki IT guidance says Copilot may only be used for public or open data and not personal data, while CurreChat may process internal data but not confidential or secret data.
Review: Agent reviewed
Normalized value: copilot_public_open_only_currechat_internal_not_confidential_secret
Original evidence
Evidence 1Copilot with commercial data protection ... can only be used to process public or open data. Personal data must not be processed in Copilot. CurreChat ... can also be used to process internal data. CurreChat must not be used to process confidential or secret data.
Ai Tool Treatment
University of Helsinki identifies Microsoft Copilot with commercial data protection and CurreChat as its general-purpose generative AI services and recommends primarily using University-supported AI services.
Review: Agent reviewed
Normalized value: copilot_and_currechat_supported_services
Original evidence
Evidence 1The University of Helsinki has two general-purpose generative AI solutions: Microsoft Copilot with commercial data protection, available for all students and staff members over the age of 18, and CurreChat, which is restricted for use by the staff and for teaching purposes. We recommend primarily using AI services supported by the University, such as Copilot with commercial data protection and CurreChat.
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
5 source attribution
Artificial intelligence in teaching
teaching.helsinki.fi
Generative AI at the University
helpdesk.it.helsinki.fi
Use of Generative Artificial Intelligence in Research
helsinki.fi
Using AI to support learning
studies.helsinki.fi
What is cheating and plagiarism?
studies.helsinki.fi
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.