Examining AI Incident #106: Navigating Challenges in Safe and Secure AI
Incident #106 highlights an instance where the deployed AI model, intended for image recognition, exhibited a bias in its output. This demonstrates the importance of responsible AI governance and the need for robust safeguards to prevent such incidents. HISPI Project Cerebellum TAIM provides tools to Measure and Manage such issues, promoting safe and secure AI practices.
Contributors are invited—JOIN US—to learn more about our efforts in harm prevention and trustworthy AI.
Contributors are invited—JOIN US—to learn more about our efforts in harm prevention and trustworthy AI.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/106
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.