Policy presence
Aalto University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Espoo (Helsinki capital region), Finland
Aalto University is listed as QS 2026 rank =114. Aalto University has 7 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.
v1 public contract
Aalto University is listed as QS 2026 rank =114. Aalto University has 7 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.
As of this public record, University AI Policy Tracker lists Aalto University as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 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/aalto-university.json. The entity-level confidence is 88%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Aalto University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Aalto University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Aalto University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Aalto University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Aalto University has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Aalto University has 2 source-backed public claims for approved tools; deterministic analysis status: restricted.
Aalto University has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Aalto University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Aalto University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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.
7 reviewed evidence-backed public claim
Teaching
Original evidence
Evidence 1The use of AI-based technologies is allowed as a support for teaching and learning unless instructed otherwise by the teacher of the course. The teacher of the course may decide on restrictions on the use of technology on a course- or task-specific basis if achieving the learning objectives of the course requires it.
Teaching
Original evidence
Evidence 1If the teacher decides to restrict the use of AI on a course- or task-specific basis, they must provide clear instructions on the limitations in connection with the assessment criteria. The teacher may only submit student work or require students themselves to submit student work in systems approved by Aalto University.
Academic Integrity
Original evidence
Evidence 1The student is always responsible for the content of their submitted work. Utilising AI in a learning task contrary to the teacher instructions will be considered cheating and will be handled in accordance with the current procedures.
Academic Integrity
Original evidence
Evidence 1If you are unsure whether you can use a specific system or application in completing the task, always contact the course teacher. Mark the content generated by artificial intelligence in your text and include references to the name of the AI model or service, the date, and when the content was generated. Do not present content generated by artificial intelligence as your own.
Privacy
Original evidence
Evidence 1You may use public, internal, and confidential data when chatting with the Aalto AI Assistant. Secret content is not permitted. Do not input special category or otherwise sensitive personal data into the service, nor use the service to handle such data.
Ai Tool Treatment
Original evidence
Evidence 1Here are Aalto University official and productized AI services. Aalto AI Assistant is an AI tool that utilises large language models. The GPT models are secure and can be applied to public and internal information as well as confidential data. Aalto AI Assistant is available to all Aaltonians.
Research
Original evidence
Evidence 1AI cannot be given authorship, as it is considered as a tool, and authorship always involves responsibility that AI cannot cover. The use of AI should be transparent by openly describing how AI is used in the research process so that others can reproduce your results. GDPR is to be followed, meaning that research data containing personal data should not be fed into an online AI tool.
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.
5 source attribution
aalto.fi
aalto.fi
aalto.fi
aalto.fi
aalto.fi
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