Bishkek, Kyrgyzstan

American University of Central Asia

American University of Central Asia has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 21, 2026.

American University of Central Asia AI policy short answer

v1 public contract

American University of Central Asia has 3 source-backed AI policy claims from 2 official source attributions, including 3 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 21, 2026. Discovery context: American University of Central Asia is listed as QS 2026 rank 901-950.

Citation-ready summary

As of this public record, University AI Policy Tracker lists American University of Central Asia as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 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/american-university-of-central-asia.json. The entity-level confidence is 96%. 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 coverage3 reviewedSource languageenPublic JSON/api/public/v1/universities/american-university-of-central-asia.json

Policy signals in this record

  • Evidence includes Teaching 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official 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 score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence80%

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

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

American University of Central Asia has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%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

Research guidance

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

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

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

3 reviewed evidence-backed public claim

Teaching

AUCA permits instructors to set course-level policies regulating generative AI and other tools when those policies are clear and communicated in course syllabi.

Review: Agent reviewedConfidence94%

Normalized value: course_level_instructor_ai_policy_allowed_with_syllabus_notice

Original evidence

Evidence 1
Instructors can set individual policies on regulating the utility of generative AI and other tools in their courses provided they: Set clear policies, whether permitting or prohibiting some or all tools; Communicate them clearly in their individual course syllabi.

Academic Integrity

AUCA's student conduct code states that AI use is addressed in the AUCA AI Policy for plagiarism and lists AI among prohibited resources whose use during a proctored exam constitutes cheating.

Review: Agent reviewedConfidence91%

Normalized value: ai_referenced_in_plagiarism_policy_and_prohibited_exam_resources

Original evidence

Evidence 1
Usage of AI can be found in the AUCA AI Policy. 2.3. Cheating. This involves using prohibited resources during a proctored exam, including but not limited to cheat sheets, notes, books, internet, AI, instant messaging services or other students.

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 21, 2026Last changedMay 21, 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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