Incident #169

In this blog post, we delve into Incident #169, a notable instance that underscores the importance of responsible AI. The incident involved an unforeseen outcome resulting from a predictive model's implementation. Despite the model's high accuracy, it led to undesirable consequences, highlighting the need for robust safeguards in AI systems. This incident serves as a reminder of the critical role that trustworthy AI governance plays in ensuring safe and secure AI applications.

AI governance case studies

For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/169

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.