Mumbai, India

University of Mumbai

University of Mumbai has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 17, 2026.

University of Mumbai AI policy short answer

v1 public contract

University of Mumbai has 2 source-backed AI policy claims from 2 official source attributions, including 2 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 17, 2026. Discovery context: University of Mumbai is listed as QS 2026 rank =664.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Mumbai as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 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/university-of-mumbai.json. The entity-level confidence is 74%. 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.

Claim coverage2 reviewedSource languageenPublic JSON/api/public/v1/universities/university-of-mumbai.json

Policy signals in this record

  • Evidence includes Source status claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2

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.

Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence61%

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.

Policy presence

University of Mumbai has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence63%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

Exams

University of Mumbai has 1 source-backed public claim for exams; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence60%Evidence1Sources1

Privacy and data entry

University of Mumbai has 1 source-backed public claim for privacy and data entry; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence60%Evidence1Sources1

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

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

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

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

Source Status

An official University of Mumbai Vice Chancellor profile says the VC plans to draft an AI policy for the University of Mumbai covering teaching-learning, assessment, and academic integrity or plagiarism handling; this is evidence of a planned policy effort, not a published university-wide AI policy.

Review: Agent reviewedConfidence74%

Normalized value: planned_ai_policy_not_published_policy

Original evidence

Evidence 1
Plans to draft an AI policy for University of Mumbai, including its use in teaching-learning, assessment, handling of academic integrity / plagiarism, etc.

Teaching

A University of Mumbai digital-ethics syllabus includes responsible use of Artificial Intelligence in research alongside data privacy, digital plagiarism, plagiarism-check tools, and reliability of digital information; this is course-level teaching content, not a university-wide AI-use rule.

Review: Agent reviewedConfidence70%

Normalized value: course_level_responsible_ai_research_topic

Original evidence

Evidence 1
Data privacy and protection; Digital plagiarism; Plagiarism-check tools; Ensuring reliability of digital information; Responsible use of Artificial Intelligence in research.

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

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.

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

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.

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