A Closer Look at the Controversy Behind Spam Filters: AI Incident Analysis

Exploring the unanticipated issues in spam filtering systems, this AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Dive into a discussion on responsible AI, safe and secure AI governance, and how you can contribute to harm prevention by __join_link__.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/83

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.