Policy presence
American University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Washington D.C., United States
American University
American University has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
American University AI policy short answer
v1 public contract
American University has 5 source-backed AI policy claims from 3 official source attributions, including 5 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 17, 2026. Discovery context: American University is listed as QS 2026 rank =587.
Citation-ready summary
As of this public record, University AI Policy Tracker lists American University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 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.json. The entity-level confidence is 95%. 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 Academic integrity claims.
- Evidence includes Source status 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
American University has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
American University has 2 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
American University has 2 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
American University has 3 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
American University has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
American University has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Named AI services
American University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
American University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
American University has 2 source-backed public claims 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
5 reviewed evidence-backed public claim
Privacy
American University guidance says not to enter sensitive, Confidential, or Official Use data into an AI platform unless approved by a university official, and not to upload, input, or analyze university data in an AI tool that OIT has not approved.
Review: Agent reviewed
Normalized value: sensitive_data_requires_approval_and_oit_tool_approval
Original evidence
Evidence 1Do not enter any sensitive data, or Confidential or Official Use data (as defined in the university Data Classification Policy) in an AI platform, unless approved by a university official.
Localized display only
AU tells users not to enter sensitive, Confidential, or Official Use data in AI platforms unless a university official approves.
Academic Integrity
American University guidance says students are responsible for course AI policies in syllabi, and misuse of AI or use without permission or disclosure may constitute an Academic Integrity Code violation.
Review: Agent reviewed
Normalized value: unauthorized_or_undisclosed_ai_may_violate_academic_integrity_code
Original evidence
Evidence 1Misuse of AI or use of AI without permission or disclosure may constitute a violation of the Academic Integrity Code.
Localized display only
AU says misuse of AI, or AI use without permission or disclosure, may constitute an Academic Integrity Code violation.
Original evidence
Evidence 2Students are not permitted to use unauthorized materials on an exam - this includes the use of generative AI tools for any purpose without explicit permission.
Localized display only
OAI guidance treats unauthorized generative-AI use on exams as unauthorized material use unless explicitly permitted.
Source Status
American University publishes responsible-use guidance for AI tools that applies general principles of transparency, accountability, human oversight, data protection, privacy, teaching, research, staff, and student use.
Review: Agent reviewed
Normalized value: current_responsible_use_guidance
Original evidence
Evidence 1The following guidance outlines acceptable practices for utilizing AI tools while safeguarding institutional, personal, and proprietary information.
Localized display only
AU frames this page as guidance for acceptable AI use while protecting institutional, personal, and proprietary information.
Research
American University research guidance says researchers should be transparent about AI use, verify AI-generated content against trusted sources, protect data privacy, and not list AI systems as co-authors.
Review: Agent reviewed
Normalized value: research_ai_disclosure_accuracy_privacy_no_ai_coauthor
Original evidence
Evidence 1Be transparent about the use of AI in your research. Clearly track and, where appropriate, disclose when, how, and which AI tools (including versions) are used, whether for data analysis, content generation, or writing assistance.
Localized display only
AU research guidance calls for transparent tracking and appropriate disclosure of AI use in research.
Teaching
American University guidance places AI-use expectations at the course level: syllabi should state whether AI use is prohibited or permitted, and the CFE page says AU does not currently regulate faculty and student use of generative AI through a single university-wide rule.
Review: Agent reviewed
Normalized value: course_level_ai_expectations
Original evidence
Evidence 1Course syllabi should clearly state policies and expectations about the use of AI, whether prohibited or permitted.
Localized display only
AU says course syllabi should clearly state whether AI is prohibited or permitted.
Original evidence
Evidence 2American University does not currently regulate how faculty and students can or cannot use generative artificial intelligence (AI) through large language models (LLMs) such as Copilot, Perplexity, ChatGPT, Gemini, or Claude.
Localized display only
The CFE page says AU does not currently regulate faculty and student generative-AI use through a single university-wide rule.
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
3 source attribution
AI & Academic Integrity: OAI's Fall Guidance 2024
edspace.american.edu
Artificial Intelligence
edspace.american.edu
University Guidance on the Responsible Use of Artificial Intelligence (AI)
american.edu
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.