Policy presence
Indian Institute of Science has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Bangalore, India
Indian Institute of Science
Indian Institute of Science is listed as QS 2026 rank =219. Indian Institute of Science has 3 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 Science is listed as QS 2026 rank =219. Indian Institute of Science has 3 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 Science as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 3 source-backed claims, including 3 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-science.json. The entity-level confidence is 94%. 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 Privacy claims.
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the 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
Indian Institute of Science has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Indian Institute of Science has 2 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Indian Institute of Science has 1 source-backed public claim for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Indian Institute of Science has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
Indian Institute of Science has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
Indian Institute of Science has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
Indian Institute of Science has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Indian Institute of Science has 1 source-backed public claim 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
Privacy
IISc faculty-facing AI guidance says entering data into an open AI tool should be treated like posting it publicly unless there are strong reasons to trust the tool, and says not to input sensitive, confidential, or restricted information into open AI tools.
Review: Agent reviewed
Normalized value: do_not_input_sensitive_confidential_restricted_information
Original evidence
Evidence 1Hence, entering data into an AI tool should be regarded as equivalent to posting it in public (unless there are strong reasons to trust that a specific tool will not use your queries). Do not enter, contribute, or otherwise input sensitive, confidential, or restricted information into open AI tools.
Localized display only
The faculty presentation warns against entering sensitive, confidential, or restricted information into open AI tools.
Research
The IISc committee report recommends full, precise, and transparent disclosure of generative AI use in research publications, theses, and other Institute documents, with details depending on how the tools were used.
Review: Agent reviewed
Normalized value: research_disclosure_recommended
Original evidence
Evidence 1Use of generative AI should be fully disclosed, with attribution that is precise, transparent, and with adequate details. In particular, when one is using generative AI in publications, one should follow the guidelines of the Journal, Conference, or Publisher. For thesis and other Institute documents, one should follow the guidelines for publications given below.
Localized display only
The report recommends detailed disclosure and attribution for generative AI use in publications, theses, and other Institute documents.
Teaching
An IISc committee report recommends 'allowed with attribution' as the default institutional policy for AI tool use in courses, while allowing instructors, departments, divisions, or programmes to tailor the baseline policy.
Review: Agent reviewed
Normalized value: recommended_default_allowed_with_attribution
Original evidence
Evidence 1We recommend allowed with attribution as the default institutional policy. This default policy should be articulated via an appropriate channel, such as the Student Handbook. Furthermore, this default policy can be tailored at each level in the hierarchy: individual course instructor, department, division, or programme.
Localized display only
The committee recommends an allowed-with-attribution default for coursework AI use, with tailoring by instructors or academic units.
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
Emerging AI tools for Education and Research: Perspective and Policies for IISc
iisc.ac.in
Emerging AI Tools for Education and Research: Perspective and Policies for IISc
iisc.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.