Tiruchirappalli, India

National Institute of Technology, Tiruchirappalli

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage3 reviewedEvidence-backed claims3Reviewed3Candidate0Official sources2Source languageenPublic JSON/api/public/v1/universities/national-institute-of-technology-tiruchirappalli.json

Policy profile

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence72%

Policy presence

National Institute of Technology, Tiruchirappalli has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence66%Evidence1Sources1

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

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

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

National Institute of Technology, Tiruchirappalli has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.

UnclearMachine candidateConfidence66%Evidence1Sources1

Teaching guidance

National Institute of Technology, Tiruchirappalli has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

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

3 reviewed evidence-backed public claim

Academic Integrity

NITT's 2024 PG Regulations classify possession of mobile phones, carrying unauthorized notes, communicating with other students, or copying during an assessment as punishable academic dishonesty, with zero marks for offenders.

Review: Agent reviewedConfidence92%

Normalized value: PG assessment conduct: specified conduct is academic dishonesty and punishable; zero marks penalty stated.

Original evidence

Evidence 1
Possession of a mobile phone, carrying unauthorized notes, communicating with other students, or copying during an assessment shall be considered an act of academic dishonesty and is punishable. Offenders will be awarded zero marks.

Teaching

NITT's 2024 PG Regulations say each course faculty prepares a course plan and that the course plan outlines assessment components, attendance requirements, academic integrity guidelines, and study material information.

Review: Agent reviewedConfidence90%

Normalized value: PG course plans include assessment components, attendance requirements, academic integrity guidelines, and study material information.

Original evidence

Evidence 1
The course plan shall outline assessment components such as assignments, quizzes, group tasks, field-visit reports, open-book tests, laboratory exercises, mini-projects, and the final assessment, along with attendance requirements, academic integrity guidelines, and study material information.

Academic Integrity

In a 2025 official Parliament QA PDF, NITT described ChatGPT-like generative AI use in higher education and said related policies were being evolved, including Turnitin checks for plagiarism and auto-generated content and plagiarism validation for code.

Review: Agent reviewedConfidence78%

Normalized value: AI-related academic-integrity measures described as evolving; Turnitin and code plagiarism validation mentioned.

Original evidence

Evidence 1
At our institute, the following policies are being evolved: We use Turnitin software to check for plagiarism which also points out the amount of auto-generated contents from software like ChatGPT. The code (programs) is also validated with plagiarism software to determine the visibility of the code.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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