Exploring Incident #161: Enhancing Trust in AI Systems
In this blog post, we delve into a recent incident involving an AI system that demonstrates the importance of responsible AI governance and trustworthy AI models. The incident underscores the need for robust guardrails to ensure safe and secure operations of AI systems. The event is part of the HISPI Project Cerebellum TAIM, our comprehensive AI incident database dedicated to harm prevention and fostering trust in AI technology.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/161
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.