HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Revealing Limitations of AI: A Tougher Turing Test Uncovers Shortcomings in Chatbot Performance

This AI incident highlights the need for robust AI governance and trustworthy AI development. The test, a more challenging version of the classic Turing Test, exposed chatbots' shortcomings, underscoring the importance of responsible AI practices. Ready to help shape the future of safe and secure AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.