Policy presence
University of Hyderabad has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hyderabad, India
University of Hyderabad
University of Hyderabad has 2 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 2 reviewed claims. Last checked May 20, 2026.
University of Hyderabad AI policy short answer
v1 public contract
University of Hyderabad has 2 source-backed AI policy claims from 1 official source attribution, 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 20, 2026. Discovery context: University of Hyderabad is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Hyderabad as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 2 source-backed claims, including 2 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/university-of-hyderabad.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 AI tool treatment claims.
- Evidence includes Academic integrity 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.
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
University of Hyderabad has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Hyderabad has 2 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
University of Hyderabad has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
University of Hyderabad has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
University of Hyderabad has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
University of Hyderabad has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Hyderabad 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
2 reviewed evidence-backed public claim
Ai Tool Treatment
The University of Hyderabad Teaching Policy says use of GenAI to create whole assignments and projects is not acceptable, while GenAI may be permitted for research and conceptualization in limited course-specific circumstances.
Review: Agent reviewed
Normalized value: GenAI use for whole assignments/projects not acceptable; limited course-specific research/conceptualization use may be permitted.
Original evidence
Evidence 1Similarly, use of GenAI to create whole assignments and projects is not acceptable. However, use of GenAI may be permitted for research and conceptualization in limited circumstances based on the requirements of a course.
Localized display only
The policy says GenAI-created whole assignments and projects are not acceptable, but limited research or conceptualization use may be permitted depending on course requirements.
Academic Integrity
The University of Hyderabad Teaching Policy directs students to refer to course-level instructions before using GenAI tools and frames academic dishonesty violations as subject to academic-unit scrutiny and possible consequences.
Review: Agent reviewed
Normalized value: Students must refer to course-level GenAI instructions; academic dishonesty issues are reviewed at academic-unit level.
Original evidence
Evidence 1Students must refer to course-level instructions before they use such tools. These violations will be scrutinized at the level of an academic unit by a designated committee, who then recommend their decisions.
Localized display only
Students must check course-level instructions before using GenAI tools; violations are reviewed by a designated academic-unit committee.
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
1 source attribution
University of Hyderabad Teaching Policy (October 2024)
uohyd.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.