Academic integrity
Affecté par des incidents
Incident 10843 Rapports
Federal 'Make America Healthy Again' Report Released with Multiple Reportedly Erroneous and Unverifiable Citations
2025-05-22
The federal "Make America Healthy Again" (MAHA) report, released under HHS Secretary Robert F. Kennedy Jr., included hundreds of citations, some of which were reportedly nonexistent or erroneous. Analysts reportedly identified markers consistent with AI-generated text, such as repeated entries, nonexistent studies, and URLs containing "oaicite," suggesting use of tools like ChatGPT.
PlusIncident 8432 Rapports
Generative AI Plagiarism Incident at Hingham High School Reportedly Tied to Inaccurate Citation Outputs from Grammarly AI
2024-11-20
In December 2023, two Hingham High School students ("RNH" and unnamed) reportedly used Grammarly to create a script for an AP U.S. History project. The AI-generated text included fabricated citations to nonexistent books, which the student copied and pasted without verification or acknowledgment of AI use. This violated the school's academic integrity policies, leading to disciplinary action. RNH's parents later sued the school district, but a federal court ruled in favor of the school.
PlusIncident 10442 Rapports
Reported Emergence of 'Vegetative Electron Microscopy' in Scientific Papers Traced to Purported AI Training Data Contamination
2025-04-15
Researchers reportedly traced the appearance of the nonsensical phrase "vegetative electron microscopy" in scientific papers to contamination in AI training data. Testing indicated that large language models such as GPT-3, GPT-4, and Claude 3.5 may reproduce the term. The error allegedly originated from a digitization mistake that merged unrelated words during scanning, and a later translation error between Farsi and English.
PlusIncident 11351 Rapport
Preprints Reportedly from Researchers from Multiple Universities Allegedly Contain Covert AI Prompts
2025-07-01
Hidden prompts reportedly were discovered in at least 17 academic preprints on arXiv that purportedly instructed AI tools to deliver only positive peer reviews. The lead authors are reportedly affiliated with 14 institutions in eight countries, including Waseda University, KAIST, Peking University, and the University of Washington. The alleged concealed instructions, some of which were reportedly embedded using white text or tiny fonts, were purportedly intended to influence any reviewers who rely on AI tools.
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