AI-Driven News Platform Accused of Spreading Unverified Terrorism Allegations Against Yale Scholar
March 2, 2025
This incident is a compelling example of how unregulated AI can lead to misinformation and infringe upon academic freedom. By participating in Project Cerebellum, you can help us Measure, Map, Manage, and Govern such instances, promoting safe and secure AI practices.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 4.1 — similarity 0.657, rank 1. TAIM detail and related incidents →
- MAP 1.6 — similarity 0.647, rank 2. TAIM detail and related incidents →
- MEASURE 2.6 — similarity 0.646, rank 3. TAIM detail and related incidents →
- Alleged deployer
- jewish-onliner
- Alleged developer
- unknown-ai-news-platform-developer, unknown-large-language-model-developers
- Alleged harmed parties
- helyeh-doutaghi, yale-law-school, yale-university, journalism, truth
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/977
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.