Examining Incident #143: Navigating Challenges in AI Governance
Delving into a recent AI incident, we explore the complexities of responsible AI governance. The instance involved unforeseen data bias that led to misleading predictions, highlighting the need for robust safeguards and trustworthy AI models. Through HISPI Project Cerebellum TAIM, we continue our efforts towards harm prevention, ensuring a secure and safe AI landscape. Contribute your insights—JOIN US—to learn more.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/143
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.