Policy presence
Indian Institute of Technology Roorkee (IITR) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Roorkee, India
Indian Institute of Technology Roorkee (IITR)
Indian Institute of Technology Roorkee (IITR) is listed as QS 2026 rank =339. Indian Institute of Technology Roorkee (IITR) has 2 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Indian Institute of Technology Roorkee (IITR) is listed as QS 2026 rank =339. Indian Institute of Technology Roorkee (IITR) has 2 source-backed AI policy claim records from 2 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 Indian Institute of Technology Roorkee (IITR) as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 2 source-backed claims, including 2 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/indian-institute-of-technology-roorkee-iitr.json. The entity-level confidence is 91%. 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 Academic integrity claims.
- Evidence includes Source status claims.
- No specific AI service name is highlighted by the current 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
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.
Coursework
Indian Institute of Technology Roorkee (IITR) has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Indian Institute of Technology Roorkee (IITR) has 1 source-backed public claim for exams; deterministic analysis status: required.
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.
Academic integrity
Indian Institute of Technology Roorkee (IITR) has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Indian Institute of Technology Roorkee (IITR) has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
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.
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.
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
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.
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 reviewed
Normalized value: Academic ethics policy addresses plagiarism and pre-submission plagiarism checks; the source is not AI-specific.
Original evidence
Evidence 1Plagiarism 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 reviewed
Normalized value: AI-related public source found; no institutional AI-use policy located in this run.
Original evidence
Evidence 1Generative 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
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
2 source attribution
Academic Ethics Policy IITR
iitr.ac.in
Generative AI & Large Language Model Engineering using Python
tih.iitr.ac.in
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.