HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Exploring Limitations in AI: A Case Study of the Modern Turing Test

This AI incident highlights the challenges in developing trustworthy AI, particularly when it comes to conversational agents. The modern Turing test has exposed limitations in chatbot performance, underlining the need for robust AI governance and harm prevention strategies. Ready to help shape responsible 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.