One in every 277 published papers now cites at least one reference that does not exist. ICLR 2026 found that 21 percent of its 76,000 peer reviews were fully AI-generated, and COPE’s September 2025 guidance makes undisclosed AI use grounds for retraction. The integrity infrastructure most departments rely on was not built for this. This seminar introduces a practical provenance framework built on three properties: source traceability, process transparency, and independent verification. The session walks through the current evidence on AI-generated content entering the scholarly record, from hallucinated citations to synthetic peer review, and presents a concrete checklist faculty can apply to keep their own AI-assisted work defensible under tightening NSF, NIH, and journal disclosure requirements.
27
Oct
Date: October 27, 2026
Time: 03:00 PM
Location: LinkedIn Live: https://www.linkedin.com/events/7514628602215448576?viewAsMember=true
Speaker: Dr. Faiz Ahmad