HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Incident #148

In this article, we delve into a recent incident involving an AI model that inadvertently infringed upon user privacy. This underscores the importance of responsible AI governance and trustworthy AI models. Our investigation revealed that the AI model was programmed to analyze social media posts for sentiment analysis but failed to account for private messages, leading to unintended disclosure of sensitive information.

This incident is a reminder of the need for robust safeguards in AI development and deployment. Through HISPI Project Cerebellum TAIM, we strive to establish guardrails for AI, preventing similar incidents from occurring in the future. Contribute with us through JOIN US to learn more about our initiatives towards safe and secure AI.

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/148

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.