Policy presence
Lovely Professional University (LPU) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Chaheru, India
Lovely Professional University (LPU)
Lovely Professional University (LPU) has 3 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 22, 2026.
Lovely Professional University (LPU) AI policy short answer
v1 public contract
Lovely Professional University (LPU) has 3 source-backed AI policy claims from 3 official source attributions, including 3 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 22, 2026. Discovery context: Lovely Professional University (LPU) is listed as QS 2026 rank 901-950.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Lovely Professional University (LPU) as an agent-reviewed AI policy record last checked on May 22, 2026 and last changed on May 22, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/lovely-professional-university-lpu.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 AI tool treatment claims.
- Evidence includes Teaching 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
Lovely Professional University (LPU) has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Lovely Professional University (LPU) has 3 source-backed public claims 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
Lovely Professional University (LPU) has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Lovely Professional University (LPU) has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Lovely Professional University (LPU) has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
Lovely Professional University (LPU) has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Lovely Professional University (LPU) has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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
3 reviewed evidence-backed public claim
Academic Integrity
LPU's research Code of Ethics says plagiarism in any form is not permissible, is serious misconduct subject to strict disciplinary action, and is covered by a zero-tolerance policy.
Review: Agent reviewed
Normalized value: research_plagiarism_zero_tolerance
Original evidence
Evidence 1Plagiarism in any form is not permissible in the university and is a serious misconduct which is subject to strict disciplinary action against the person found guilty. The university has a zero tolerance policy on plagiarism.
Ai Tool Treatment
LPU's ICSS-2026 abstract-guidelines page states that manuscript submissions must have plagiarism below 10% with 14 consecutive words and that no AI-content is allowed.
Review: Agent reviewed
Normalized value: conference_manuscript_no_ai_content
Original evidence
Evidence 1Plagiarism and AI content: Plagiarism must be less than 10% with 14 consecutive words. No AI-content is allowed.
Teaching
LPU's Scholarly Writing and Research Analytics skill-development course says it integrates publication skills with responsible and ethical use of Artificial Intelligence tools and includes ethical use of AI tools in Week 1.
Review: Agent reviewed
Normalized value: course_teaches_ethical_ai_tool_use
Original evidence
Evidence 1The course integrates research methodology, data analytics, and publication skills with the responsible and ethical use of Artificial Intelligence tools.
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
3 source attribution
Abstract Submission Guidelines (ICSS-2026)
lpu.in
Code of Ethics as approved by the Academic Council of the University
lpu.in
Scholarly Writing & Research Analytics - LPU Skill Dev Course
lpu.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.