Censorship of Chinese Chatbots: A Case Study in AI Governance

Recent shutdowns of several popular Chinese chatbots raise questions about responsible AI governance and the need for guardrails to prevent harm. The chatbots, which were allegedly responding to anti-government posts, were taken offline, highlighting the challenges in ensuring safe and secure AI operations. This incident underscores the importance of HISPI Project Cerebellum TAIM (Trusted AI Model) for managing such incidents effectively.

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Matched TAIM controls

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

GOVERN 1.7 — similarity 0.515, rank 1. TAIM detail and related incidents →
MANAGE 4.1 — similarity 0.474, rank 2. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.474, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/66

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.