Exploring the Unintended Consequences of AI System #120
Recent events have highlighted an unforeseen issue involving AI System #120, developed by a leading tech company. The system, designed to streamline customer service, inadvertently led to significant delays and frustrations for users due to a programming error. This incident underscores the importance of robust AI governance and responsible AI practices. By leveraging data from the HISPI Project Cerebellum TAIM (Trusted AI Model), we can help prevent such incidents in the future and ensure safe and secure AI implementations. Through JOIN US, contributors join us to learn more about harm prevention strategies and how they can contribute to improving AI governance.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/120
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.