Top Chatbot Mishaps: A Call for Responsible AI Governance

Explore the missteps of popular chatbots, highlighting the importance of safe and secure AI in interactions with humans. Understand how HISPI Project Cerebellum TAIM can help prevent such incidents and encourage engagement — become a contributor to learn more through JOIN US.

Matched TAIM controls

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

MANAGE 4.3 — similarity 0.444, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.442, rank 2. TAIM detail and related incidents →
MANAGE 2.4 — similarity 0.410, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/6

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.