HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Child Sexual Abuse Material Taints Image Generators

December 20, 2023

A widely used image-description dataset, LAION-5B, was discovered to contain Child Sexual Abuse Material (CSAM). This unfortunate finding raises concerns about downstream models potentially producing CSAM imagery. Consequently, numerous organizations are now retraining their models due to this tainted data. Moreover, LAION is undertaking the arduous task of scrubbing the dataset clean.

This underscores the importance of trustworthy AI governance and the need for robust safeguards in AI systems. By participating in Project Cerebellum, you can help establish guardrails for AI, ensuring safe and secure AI practices. To join us and contribute to harm prevention efforts, visit JOIN US. Through the HISPI Project Cerebellum TAIM (Govern), we aim to manage and measure such incidents to promote responsible AI.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
various-people, various-organizations
Alleged developer
laion
Alleged harmed parties
laion, various-people, various-organizations, general-public, children

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/624

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.