Roorkee, India

Indian Institute of Technology Roorkee (IITR)

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage2 reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2Source languageen-INPublic JSON/api/public/v1/universities/indian-institute-of-technology-roorkee-iitr.json

Policy profile

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence73%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

Indian Institute of Technology Roorkee (IITR) has 1 source-backed public claim for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

No source-backed public claim about privacy or data-entry restrictions is present in this profile.

The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

Indian Institute of Technology Roorkee (IITR) has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence77%Evidence1Sources1

Approved tools

Indian Institute of Technology Roorkee (IITR) has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence66%Evidence1Sources1

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

2 reviewed evidence-backed public claim

Academic Integrity

IIT Roorkee's Academic Ethics Policy states that plagiarism is unacceptable, that the institute observes zero tolerance against plagiarism, and that students must check reports, papers, and theses for plagiarism using dedicated software before submission.

Review: Agent reviewedConfidence91%

Normalized value: Academic ethics policy addresses plagiarism and pre-submission plagiarism checks; the source is not AI-specific.

Original evidence

Evidence 1
Plagiarism is often considered as owning of others ideas, conclusions, code, data, design, figure, etc., without their permission or due acknowledgement. Self-plagiarism occurs when the same word or a significant part of the work is reproduced again. The extent and type of plagiarism can be variable and sometimes it can also be unintentional, however, it is unacceptable. IIT Roorkee observes "zero tolerance" against those indulging in plagiarism.

Localized display only

The policy defines plagiarism broadly, says it is unacceptable even when unintentional, and says IIT Roorkee observes zero tolerance against plagiarism.

Source Status

Official IITR AI-related discovery found public Generative AI and large-language-model course/training content, but this source is course content rather than an institutional AI-use policy.

Review: Agent reviewedConfidence78%

Normalized value: AI-related public source found; no institutional AI-use policy located in this run.

Original evidence

Evidence 1
Generative AI & Large Language Model Engineering using Python. In today's AI-driven world, Generative AI and Large Language Models (LLMs) are at the forefront of innovation, powering applications ranging from chatbots to recommendation engines, speech recognition, and intelligent automation. Python is the most widely used programming language in the world of Gen-AI and Data Science owing to its simplicity, versatility, and a vast ecosystem of powerful libraries.

Localized display only

The official IITR iHUB page is a Generative AI and LLM Engineering course page, not a public institutional AI-use policy.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

Back to universities