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.
Change log
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
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American University currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 17, 2026. No tracker diff rows are recorded in the latest public release.
This page combines all public release diffs for American University. Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
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5 claim records
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.
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.
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.
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.
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.
3 source attributions
official_pdf Tracker checked at May 17, 2026, 3:23 AM
official_guidance Tracker checked at May 17, 2026, 3:22 AM
official_guidance Tracker checked at May 17, 2026, 3:20 AM