Concerning YouTube Videos Deceiving Children: A Responsible AI Issue

Recent studies have uncovered a troubling trend on YouTube where children are being lured into inappropriate content through deceptive videos. This incident underscores the importance of robust AI governance and safe, secure AI practices to prevent such harm.

The HISPI Project Cerebellum TAIM offers valuable insights on managing these types of incidents, promoting trustworthy AI models. Engage with us—JOIN US—to learn more about our efforts in responsible AI and AI incident management.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 3.5 — similarity 0.423, rank 1. TAIM detail and related incidents →
MAP 4.2 — similarity 0.411, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.405, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1

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.