Tallinn, Estonia

Tallinn University of Technology (TalTech)

Tallinn University of Technology (TalTech) has 7 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 7 reviewed claims. Last checked May 17, 2026.

Tallinn University of Technology (TalTech) AI policy short answer

v1 public contract

Tallinn University of Technology (TalTech) has 7 source-backed AI policy claims from 5 official source attributions, including 7 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 17, 2026. Discovery context: Tallinn University of Technology (TalTech) is listed as QS 2026 rank =635.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Tallinn University of Technology (TalTech) as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 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/tallinn-university-of-technology-taltech.json. The entity-level confidence is 90%. 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.

Claim coverage7 reviewedSource languageenPublic JSON/api/public/v1/universities/tallinn-university-of-technology-taltech.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Research claims.
  • Named AI services detected in public claims: ChatGPT, Microsoft Copilot.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims7Reviewed7Candidate0Official sources5

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

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.

Policy presence

Tallinn University of Technology (TalTech) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence71%Evidence1Sources1

Research guidance

Tallinn University of Technology (TalTech) has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

7 reviewed evidence-backed public claim

Teaching

TalTech tells lecturers to explain acceptable AI-based software use in assessment, teaching, learning, and homework, and course-level permission or prohibition should be specified in the extended syllabus.

Review: Agent reviewedConfidence90%

Normalized value: course_ai_use_disclosure_expected

Original evidence

Evidence 1
The lecturers shall explain to students the acceptable use of AI-based software in assessments, teaching, learning and/or homework. Information on this can be found in the extended course description.

Academic Integrity

TalTech permits AI applications as support tools for inspiration, refinement, translation, early-stage learning support, and editing, but says they must not be used for extensive thesis sections, fabricated data, or substantive arguments.

Review: Agent reviewedConfidence90%

Normalized value: ai_support_allowed_with_integrity_limits

Original evidence

Evidence 1
AI applications can be used as a source of inspiration, a tool for evaluating and refining ideas, for translation, and to support learning during the early stages of the work. AI applications can also be helpful in editing student-generated text during the final stages of work. However, AI applications must not be used for the preparation of extensive sections of a graduation thesis (e.g. an entire chapter), fabricating data for analysis, or generating substantive arguments.

Academic Integrity

TalTech says substantive AI output must be cited or described as a method, and learners remain responsible for accuracy, quality, analysis results, and references.

Review: Agent reviewedConfidence90%

Normalized value: substantive_ai_output_citation_and_student_responsibility

Original evidence

Evidence 1
If the output from the application is used substantively (such as a section suggested by an AI tool or an image generated by an image creator), the application used must be properly cited as a method. A learner is fully responsible for the accuracy and quality of all information, research material and the results of analysis submitted for assessment, as well as the correctness of all references.

Privacy

TalTech permits AI technologies in teaching and learning only when they comply with personal data processing, data privacy, and cybersecurity regulations and their use does not violate regulations.

Review: Agent reviewedConfidence89%

Normalized value: ai_use_subject_to_privacy_and_cybersecurity_compliance

Original evidence

Evidence 1
The university permits the use of AI technologies in teaching and learning, provided they comply with personal data processing, data privacy, and cybersecurity regulations, and their use by lecturers or students does not violate the regulations.

Ai Tool Treatment

TalTech states that students can use the web version of Microsoft Copilot with a UNI-ID account and says Copilot data entered through that account is protected in a secure isolated environment.

Review: Agent reviewedConfidence88%

Normalized value: student_microsoft_copilot_uni_id_available

Original evidence

Evidence 1
At the university, students can use the web version of Microsoft Copilot with their UNI-ID account. When using Microsoft Copilot with a UNI-ID account, all entered data is protected and kept in a secure and isolated environment.

Ai Tool Treatment

TalTech's ChatGPT Edu usage rules say users should use ChatGPT primarily for ideas, drafts, and helper text, must not delegate critical decisions to the model, and must not upload sensitive personal, confidential, security-critical, or unauthorized copyrighted content.

Review: Agent reviewedConfidence87%

Normalized value: chatgpt_edu_usage_rules_and_prohibited_content

Original evidence

Evidence 1
Use ChatGPT primarily for ideas, drafts and helper text, not for making final decisions. Do not delegate critical decision-making to the model – final decisions must always be made by a human. Do not use the tool in a way that could endanger the university’s reputation, security or legal compliance.

Research

TalTech researcher guidance says AI-created texts and analyses should be clearly indicated and documented, and AI must not replace the researcher's critical thinking or act as a hidden author.

Review: Agent reviewedConfidence84%

Normalized value: research_ai_transparency_documentation_no_hidden_author

Original evidence

Evidence 1
Reproducibility and documentation – texts and analyses created with the help of AI should be clearly indicated and documented. Ethics and reliability – AI must not replace the researcher’s critical thinking or act as a hidden author.

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

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.

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

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.

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