HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Exploring Controversies in AI-Powered Spam Filters: A Case for Responsible AI

Delve into the seemingly uncontroversial realm of spam filters, where AI plays a crucial role. However, when examined closely, these systems can raise ethical questions related to privacy and misclassification. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US for those interested in contributing to harm prevention efforts and setting guardrails for AI.

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.