Tehran, Iran

Sharif University of Technology

Sharif University of Technology is listed as QS 2026 rank =375. Sharif University of Technology has 2 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

Sharif University of Technology is listed as QS 2026 rank =375. Sharif University of Technology has 2 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 Sharif University of Technology as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 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/sharif-university-of-technology.json. The entity-level confidence is 86%. 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 languagefaPublic JSON/api/public/v1/universities/sharif-university-of-technology.json

Policy signals in this record

  • Evidence includes Source status claims.
  • No specific AI service name is highlighted by the current 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 score45/100Coverage labelpartial public coverageReview: Machine candidateAnalysis confidence72%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coursework

No source-backed public claim about coursework AI use is present in this profile.

The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Exams

No source-backed public claim about exam AI use is present in this profile.

The current public tracker record does not contain claim evidence about exams, tests, quizzes, or examination conditions.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

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

RecommendedMachine candidateConfidence73%Evidence1Sources1

Academic integrity

Sharif University of Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence70%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

Teaching guidance

No source-backed public claim about teaching guidance is present in this profile.

The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

Sharif University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

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

Sharif University's accessible official privacy statement is a general website privacy source: it says the university considers users' privacy binding, collects only information sufficient to provide services, and says it does not publish or provide that information to others; it is not AI-specific guidance.

Review: Agent reviewedConfidence86%

Normalized value: general_privacy_source_not_ai_specific

Original evidence

Evidence 1
دانشگاه صنعتی شریف ... خود را ملزم به رعایت حریم خصوصی همه افراد و کاربران وبگاه دانسته و از کاربران فقط آن دسته از اطلاعات را که به منظور ارائه خدمات کفایت می‌کند، دریافت کرده و از انتشار یا در اختیار قرار دادن آنها به دیگران خودداری می‌نماید.

Localized display only

Sharif University says it is bound to respect the privacy of all website users, collects only information sufficient to provide services, and refrains from publishing or providing that information to others.

Source Status

Sharif University's accessible official student disciplinary procedure page is a general disciplinary-process source: it states that the student disciplinary committee handles student violations with religious, ethical, legal, and rights-based considerations; it is not an AI-specific academic-integrity rule.

Review: Agent reviewedConfidence82%

Normalized value: general_disciplinary_process_source_not_ai_specific

Original evidence

Evidence 1
کمیته انضباطی دانشجویان، به عنوان مرجع رسیدگی به تخلفات دانشجویان موظف است با تاکید بر موازین شرعی، اخلاقی، قانونی و حقوقی به این تخلفات رسیدگی نماید.

Localized display only

The student disciplinary committee is described as the authority for handling student violations, with emphasis on religious, ethical, legal, and rights-based standards.

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 16, 2026Last changedMay 16, 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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