Exposing Limitations in AI: A Tougher Turing Test Reveals Chatbot Shortcomings - Focus on Safe and Secure AI
The latest Turing Test emphasizes the need for robust, responsible AI governance. This AI incident highlights chatbots' limitations, underscoring the importance of safe and secure AI development. Join us in promoting harm prevention through Project Cerebellum, where this incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/21
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.