Policy presence
American University of Central Asia has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Bishkek, Kyrgyzstan
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.
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.
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.
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.
American University of Central Asia has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
American University of Central Asia has 2 source-backed public claims for coursework; deterministic analysis status: required.
American University of Central Asia has 3 source-backed public claims for exams; deterministic analysis status: restricted.
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.
American University of Central Asia has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
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.
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.
American University of Central Asia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
3 reviewed evidence-backed public claim
Teaching
Normalized value: ai_policy_statement_and_code_link_required_in_program_syllabi
Original evidence
Evidence 1In addition, such statement and the link https://auca.kg/en/code_of_conduct1/ to the Code of Student Rights, Responsibilities, and Conduct shall be a mandatory component in every academic program syllabus of AUCA.
Teaching
Normalized value: course_level_instructor_ai_policy_allowed_with_syllabus_notice
Original evidence
Evidence 1Instructors 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
Normalized value: ai_referenced_in_plagiarism_policy_and_prohibited_exam_resources
Original evidence
Evidence 1Usage 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.
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.
2 source attribution
auca.kg
auca.kg
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