Examining Incident #114: Unintended Consequences in AI Deployment
This article delves into a recent instance of an AI system's unforeseen consequences during deployment. The incident underscores the need for robust responsible AI governance and trustworthy AI models. By analyzing this case, we can gain valuable insights into the importance of safeguards and guardrails for AI, contributing to the development of safer and more secure AI solutions. Stay tuned as we continue exploring this topic through HISPI Project Cerebellum TAIM, where our collective efforts drive harm prevention in artificial intelligence.
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Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/114
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.