TikTok Anorexia Content Evades Filters Using Incorrect Hashtags: A Cautionary Tale for Responsible AI
This concerning incident highlights the challenges of content moderation on social media platforms, and maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It demonstrates the need for robust, trustworthy AI systems that can adapt and evolve to counteract such tactics. Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/132
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.