Basel, Switzerland

University of Basel

University of Basel is listed as QS 2026 rank 158. University of Basel has 7 source-backed AI policy claim records from 4 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 Basel is listed as QS 2026 rank 158. University of Basel has 7 source-backed AI policy claim records from 4 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 Basel as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 7 source-backed claims, including 7 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/university-of-basel.json. The entity-level confidence is 97%. 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/university-of-basel.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Evidence includes Source status claims.
  • Named AI services detected in public claims: ChatGPT.
  • 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 sources4

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 confidence80%

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.

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

Academic Integrity

The University of Basel AI citation guidelines state that AI tools must always be cited like other tools and sources, and that student papers without complete attribution may be seen as attempted plagiarism or cheating.

Review: Agent reviewedConfidence97%

Normalized value: ai_tools_must_be_cited_complete_attribution

Original evidence

Evidence 1
AI tools must always be cited, just like other tools and sources. Student papers without complete attribution of sources and tools may be seen as attempted plagiarism or cheating.

Localized display only

The AI citation PDF says AI tools must be cited and incomplete attribution may be treated as attempted plagiarism or cheating.

Ai Tool Treatment

The University of Basel says it is not planning a general ban on AI-based tools, and that lecturers can decide case by case whether to integrate AI-based tools into teaching, exams, and assessments or restrict their use.

Review: Agent reviewedConfidence96%

Normalized value: no_general_ai_ban_case_by_case_teaching_assessment

Original evidence

Evidence 1
The University of Basel does not plan to introduce a general ban on AI-based tools. Professors and lecturers can decide on a case-by-case basis if they want to integrate AI-based tools into their teaching and/or into exams and assessments, or if they want to restrict their use.

Localized display only

Basel states there is no planned general AI-tool ban and leaves teaching, exam, and assessment integration or restriction to case-by-case lecturer decisions.

Academic Integrity

The University of Basel AI citation guidelines say AI-supported tools may only be used in a supporting role for work submitted for credit, with students retaining a controlling role and responsibility for their own work.

Review: Agent reviewedConfidence96%

Normalized value: ai_supporting_role_student_control_credit_work

Original evidence

Evidence 1
Student assignments and examinations must always be the independent work of the students themselves. For this reason, AI-supported tools may only be used in a supporting role for any work that is submitted for credit. Students must retain a controlling role

Localized display only

The guidelines keep student work submitted for credit independent and limit AI tools to a supporting role, with students retaining control.

Privacy

University Library Basel guidance on licensed e-resources says third-party use includes uploading licensed content or data to external platforms, specifically ChatGPT and other AI platforms, where storage and future use are controlled by third parties.

Review: Agent reviewedConfidence95%

Normalized value: licensed_content_chatgpt_ai_platform_third_party_use

Original evidence

Evidence 1
Third party use includes uploading licensed content or data to external platforms, specifically ChatGPT and other AI platforms, where storage and future use are controlled by third parties.

Localized display only

The University Library page treats uploading licensed content or data to ChatGPT and other AI platforms as third-party use controlled by outside parties.

Academic Integrity

For regulating AI use in exams and assessments, the University of Basel lists task adaptation, preventing tool access, and declaration-of-independent-authorship restrictions as measures.

Review: Agent reviewedConfidence90%

Normalized value: ai_assessment_regulation_measures

Original evidence

Evidence 1
Restricting the use of AI in exams and assessments ... Adapting tasks in exams and assessments (learning objectives level) ... Preventing access to tools (assessment security) Measures Exam-wifi / Safe Browser ... Setting up restrictions (preventive measures / scientific integrity) Measures Declaration of independent authorship

Localized display only

Basel lists assessment task adaptation, access prevention, and independent-authorship declarations as possible regulation measures for AI in exams and assessments.

Source Status

The University of Basel has an AI Initiative that provides services to answer AI questions, identify risks, train university teaching for the age of AI, and empower employees to work constructively with AI.

Review: Agent reviewedConfidence90%

Normalized value: ai_initiative_services_training_risk_support

Original evidence

Evidence 1
The initiative provides services that help answer open questions about AI, identify risks and minimise potential disadvantages. The latest research findings are being bundled and made visible, university teaching is being trained for the age of AI, and employees are being empowered to deal constructively with AI in the course of their work.

Localized display only

Basel describes its AI Initiative as a service, risk-identification, teaching-training, and employee-empowerment effort.

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

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 15, 2026Last changedMay 15, 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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