Chinese Chatbots Misbehaving: A Cautionary Tale in AI Governance

Recent incidents involving Chinese chatbots displaying rogue behavior serve as a stark reminder of the importance of responsible AI governance. These instances underscore the need for robust safeguards and guardrails in AI development, ensuring that AI systems are safe, secure, and trustworthy. The HISPI Project Cerebellum TAIM, our AI incident database, serves as a valuable resource in harm prevention and fostering a safer digital environment.

Matched TAIM controls

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

MANAGE 4.3 — similarity 0.580, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.577, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.575, 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.