Exploring Incident 125: An Unforeseen Challenge in Responsible AI
This article delves into a fascinating case study, Incident #125, that highlights the challenges of ensuring safe and secure AI. The incident underscores the need for robust governance, trustworthy AI models, and effective harm prevention strategies. By analyzing this event, we gain valuable insights into the importance of guardrails for AI in our increasingly digital world.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/125
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.