HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Reevaluating Spam Filters: Unmasking the Controversy in AI Governance

Exploring the uncharted complexities of spam filters, this article sheds light on the controversial aspects often overlooked. By understanding these issues, we can improve harm prevention mechanisms and align with Project Cerebellum's mission for safe and secure AI. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

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.