Understanding Controversies in Spam Filters: An Examination of AI Governance
Explore the surprising controversies behind spam filters, a seemingly mundane application of AI. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). It showcases the need for robust AI governance, ensuring safe and secure AI that prevents harm. Ready to help shape responsible AI? JOIN US
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.