Policy presence
Indian Institute of Technology Bombay (IITB) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Mumbai, India
Indian Institute of Technology Bombay (IITB) is listed as QS 2026 rank 129. Indian Institute of Technology Bombay (IITB) has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Indian Institute of Technology Bombay (IITB) is listed as QS 2026 rank 129. Indian Institute of Technology Bombay (IITB) has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Indian Institute of Technology Bombay (IITB) as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. 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-bombay.json. The entity-level confidence is 95%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Indian Institute of Technology Bombay (IITB) has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Indian Institute of Technology Bombay (IITB) has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Indian Institute of Technology Bombay (IITB) has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Indian Institute of Technology Bombay (IITB) has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Indian Institute of Technology Bombay (IITB) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Indian Institute of Technology Bombay (IITB) has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Indian Institute of Technology Bombay (IITB) has 2 source-backed public claims for approved tools; deterministic analysis status: blocked.
Indian Institute of Technology Bombay (IITB) has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Indian Institute of Technology Bombay (IITB) has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Indian Institute of Technology Bombay (IITB) has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
5 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: HSS policy scopes AI use to HSS teaching, research and administration and requires user responsibility plus human verification
Original evidence
Evidence 1This policy specifically addresses the use of AI for Teaching, Research and Administration in the Department of HSS, IIT Bombay. The use of AI according to the strict demands of academic and professional integrity is the ultimate responsibility of the user/author/writer, whether one is faculty, researcher, student or staff. Human verification of the accuracy of AI content by the user of AI is mandatory in all cases of permissible use.
Localized display only
HSS IIT Bombay scopes the policy to HSS teaching, research and administration and requires user responsibility plus human verification.
Academic Integrity
Normalized value: HSS policy makes most AI use permission-based and requires acknowledgement for grammar or spell-check tools
Original evidence
Evidence 1Explicit prior permission from the instructor or supervisor is mandatory for the use of AI, except for the use of basic functions like grammar and spell-check. For the latter, Institute subscribed and recommended (if any) AI platforms must be used. However, use of grammar and spell-checking tools must be acknowledged (see Point No.11).
Localized display only
HSS requires prior instructor or supervisor permission for AI use except basic grammar and spell-check tools, which still need acknowledgement.
Teaching
Normalized value: HSS policy requires human verification for AI-assisted evaluation and bars AI detection tools as the sole disciplinary criterion
Original evidence
Evidence 1Use of AI without human verification is not permissible for any task that involves evaluation or assessment of a student, staff or researcher, including (but not limited to) assessment of student submissions by faculty, of staff by Department functionaries, and screening of applications for admission, recruitment and promotion. AI detection tools (such as Turnitin) cannot be used as the sole criterion for disciplinary action without human verification.
Localized display only
HSS requires human verification for AI-assisted assessment and says AI detection tools cannot be the sole basis for discipline.
Privacy
Normalized value: HSS policy bars non-public or sensitive uploads to AI platforms and bars AI transcription of interview and survey data in the stated privacy context
Original evidence
Evidence 1In the interest of intellectual property rights, privacy and confidentiality, we must not feed any information into AI platforms that must not be available in the public domain, including institutional and sensitive material. It is mandatory to abide by the regulations of the Institute Ethics Committee (IEC) or Review Board (IRB) regarding collection of data from human respondents for maintaining confidentiality, anonymity and consent requirements. Therefore, use of AI for transcription of interviews and survey data is not permissible. Any data containing personally identifiable information must not be uploaded in any platform, including AI platforms
Localized display only
HSS bars non-public, institutional, sensitive, and personally identifiable information from AI platforms and bars AI transcription of interview or survey data in this research-data context.
Research
Normalized value: HSS policy requires citation and demarcation of permissible AI use plus AI use/non-use declarations for HSS dissertations and research reports
Original evidence
Evidence 1Use of AI within permissible limits should be duly acknowledged with proper citation in all types of teaching materials and research outputs. Citation must include: (a) prompts used, (b) AI tools used, and (c) clear demarcation of the content/output generated by or with the aid of AI. Along with specific citations (see point No. 11), all dissertations and research reports submitted for evaluation in the Department of HSS must include a declaration of AI use/non-use by the student/researcher as per IIT Bombay requirement.
Localized display only
HSS requires citation of permissible AI use, including prompts/tools/demarcation, and AI use/non-use declarations for HSS dissertations and research reports.
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.
1 source attribution
hss.iitb.ac.in
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 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.