Policy presence
KTH Royal Institute of Technology has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Stockholm, Sweden
KTH Royal Institute of Technology
KTH Royal Institute of Technology is listed as QS 2026 rank 78. KTH Royal Institute of Technology has 12 source-backed AI policy claim records from 9 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
KTH Royal Institute of Technology is listed as QS 2026 rank 78. KTH Royal Institute of Technology has 12 source-backed AI policy claim records from 9 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 KTH Royal Institute of Technology as an agent-reviewed AI policy record last checked on May 13, 2026 and last changed on May 13, 2026. The record contains 12 source-backed claims, including 12 reviewed claims, from 9 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/kth-royal-institute-of-technology.json. The entity-level confidence is 92%. 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 AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Security review claims.
- Named AI services detected in public claims: 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.
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
KTH Royal Institute of Technology has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
KTH Royal Institute of Technology has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
KTH Royal Institute of Technology has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
KTH Royal Institute of Technology has 4 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
KTH Royal Institute of Technology has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
KTH Royal Institute of Technology has 5 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
KTH Royal Institute of Technology has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
KTH Royal Institute of Technology has 3 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
KTH Royal Institute of Technology has 3 source-backed public claims for security and procurement; deterministic analysis status: blocked.
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
12 reviewed evidence-backed public claim
Ai Tool Treatment
KTH tells students that generative AI use in graded assignments and exams should follow the course-specific information, and that the teacher's course rule takes precedence over general guidance.
Review: Agent reviewed
Normalized value: course_specific_information_controls_graded_ai_use
Original evidence
Evidence 1First and foremost, you must follow your courses' course-specific information about how generative AI may be used in graded assignments and on the exam. No information on this page takes precedence over what your teacher says applies.
Localized display only
First and foremost, you must follow your courses' course-specific information about how generative AI may be used in graded assignments and on the exam. No information on this page takes precedence over what your teacher says applies.
Teaching
KTH staff guidance says that, according to the Faculty Council recommendation, each course at KTH must include course-specific generative AI information in Canvas and the course memo.
Review: Agent reviewed
Normalized value: faculty_council_recommends_course_ai_information_in_canvas_and_memo
Original evidence
Evidence 1According to the Faculty Council's recommendation, each course at KTH must include course-specific information about generative AI published in both Canvas and the course memo.
Localized display only
According to the Faculty Council's recommendation, each course at KTH must include course-specific information about generative AI published in both Canvas and the course memo.
Ai Tool Treatment
KTH student guidance says course-specific generative AI information usually follows one of four approaches: no use, only specific assignments, allowed with guidelines, or free use.
Review: Agent reviewed
Normalized value: four_common_course_ai_use_approaches
Original evidence
Evidence 1The information is usually based on one of four common approaches to the use of generative AI: No use of generative AI tools allowed; Only allowed in specific assignments; Allowed according to given guidelines; Free use of generative AI tools.
Localized display only
The information is usually based on one of four common approaches to the use of generative AI: No use of generative AI tools allowed; Only allowed in specific assignments; Allowed according to given guidelines; Free use of generative AI tools.
Academic Integrity
KTH staff guidance says its course-specific AI templates remind students that they are fully responsible for submitted material, explain when AI use must be accounted for, and warn that unauthorised generative AI use may lead to disciplinary action.
Review: Agent reviewed
Normalized value: templates_include_responsibility_disclosure_disciplinary_warning
Original evidence
Evidence 1The templates include: a reminder to students that they are fully responsible for all materials they submit; where relevant, how the use of generative AI should be accounted for; information that the unauthorised use of generative AI may lead to disciplinary action.
Localized display only
The templates include: a reminder to students that they are fully responsible for all materials they submit; where relevant, how the use of generative AI should be accounted for; information that the unauthorised use of generative AI may lead to disciplinary action.
Teaching
KTH teacher guidance says teachers need to assess how possible generative AI use in a course can affect learning and write course-specific information about acceptable use based on that assessment.
Review: Agent reviewed
Normalized value: teachers_assess_learning_impact_before_course_ai_rules
Original evidence
Evidence 1You need to assess how the possible use of generative AI in your course can affect learning and thus the fulfilment of the intended learning outcomes. Based on this, write course-specific information aimed at the students about the acceptable use of generative AI.
Localized display only
You need to assess how the possible use of generative AI in your course can affect learning and thus the fulfilment of the intended learning outcomes. Based on this, write course-specific information aimed at the students about the acceptable use of generative AI.
Privacy
KTH teacher guidance says teachers should remove personal data from material given to generative AI tools and ask students to do the same.
Review: Agent reviewed
Normalized value: remove_personal_data_from_ai_prompts
Original evidence
Evidence 1Remove all personal data from the material you provide to the generative AI tool and ask your students to do the same.
Localized display only
Remove all personal data from the material you provide to the generative AI tool and ask your students to do the same.
Privacy
KTH legal guidance advises clearing prompts of personal data and says use of generative AI with personal data requires verifying GDPR-related grounds, storage, third-party, and training-data questions.
Review: Agent reviewed
Normalized value: personal_data_requires_gdpr_verification_before_ai_use
Original evidence
Evidence 1You are advised to clear prompts from personal data when using generative AI tools. It is difficult to delete personal data once it has ended up in the training data of the tool, which makes a preliminary purge the safest and easiest method to ensure proper handling of personal data.
Localized display only
You are advised to clear prompts from personal data when using generative AI tools. It is difficult to delete personal data once it has ended up in the training data of the tool, which makes a preliminary purge the safest and easiest method to ensure proper handling of personal data.
Security Review
KTH IT guidance says employees should verify responsibilities, regulations and agreements, and assess ethical consequences, before sharing information with AI tools.
Review: Agent reviewed
Normalized value: verify_responsibilities_regulations_agreements_and_ethics_before_ai_sharing
Original evidence
Evidence 1Before information is shared, responsibilities, regulations and agreements should be verified, and ethical consequences assessed. In case of uncertainty about data, agreements, laws or responsibilities, guidance should be sought from KTH's lawyers, the Data Protection Officer (DPO), the IT department or the Security Department.
Localized display only
Before information is shared, responsibilities, regulations and agreements should be verified, and ethical consequences assessed. In case of uncertainty about data, agreements, laws or responsibilities, guidance should be sought from KTH's lawyers, the Data Protection Officer (DPO), the IT department or the Security Department.
Ai Tool Treatment
KTH identifies Microsoft Copilot Chat as an employee-accessible AI assistant with better information security than the free consumer version when used with a KTH account.
Review: Agent reviewed
Normalized value: microsoft_copilot_chat_employee_tool_with_enterprise_protection
Original evidence
Evidence 1As an employee at KTH, you have access to Microsoft Copilot Chat, which offers better information security than the free consumer version.
Localized display only
As an employee at KTH, you have access to Microsoft Copilot Chat, which offers better information security than the free consumer version.
Security Review
KTH Copilot Chat guidance says the service still may not be used to share personal data, sensitive material, or confidential material.
Review: Agent reviewed
Normalized value: copilot_chat_no_personal_sensitive_confidential_material
Original evidence
Evidence 1It is not permitted to share personal data, sensitive or confidential material in this type of cloud service.
Localized display only
It is not permitted to share personal data, sensitive or confidential material in this type of cloud service.
Academic Integrity
KTH teacher guidance tells staff to remind students that, in any assessment, students shall honestly disclose help received and sources used.
Review: Agent reviewed
Normalized value: students_disclose_help_and_sources_in_assessment
Original evidence
Evidence 1The ethical guidelines in each course plan states: "In any assessment, every student shall honestly disclose any help received and sources used.". Remind your students of this and have an open discussion with them about generative AI and your specific course.
Localized display only
The ethical guidelines in each course plan states: "In any assessment, every student shall honestly disclose any help received and sources used.". Remind your students of this and have an open discussion with them about generative AI and your specific course.
Teaching
KTH E-learning FAQ says teachers cannot currently require students to use generative AI, so student use should be voluntary unless the recommendation changes.
Review: Agent reviewed
Normalized value: student_genai_use_should_currently_be_voluntary
Original evidence
Evidence 1No, we cannot require students to use generative AI right now (written in August 2025). The reason is that we cannot yet ensure that generative AI tools comply with all legal requirements on data protection, copyright and GDPR.
Localized display only
No, we cannot require students to use generative AI right now (written in August 2025). The reason is that we cannot yet ensure that generative AI tools comply with all legal requirements on data protection, copyright and GDPR.
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
9 source attribution
Considerations for studying with generative AI
kth.se
Considerations for using generative AI
intra.kth.se
Course-specific information about generative AI
kth.se
FAQ Generative AI
intra.kth.se
KTH's templates for course-specific information on generative AI
intra.kth.se
Legal aspects of generative AI
intra.kth.se
Microsoft Copilot Chat
intra.kth.se
Prevent and discourage prohibited use of generative AI
intra.kth.se
Recommendations for the use of AI
intra.kth.se
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.