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DeepfakeHigh

Child Sexual Abuse Material Taints Image Generators

Occurred
Dec 20, 2023
Published
Aug 30, 2024
Source
AI Incident Database

Summary

The LAION-5B dataset (a commonly used dataset with more than 5 billion image-description pairs) was found by researchers to contain child sexual abuse material (CSAM), which increases the likelihood that downstream models will produce CSAM imagery. The discovery taints models built with the LAION dataset requiring many organizations to retrain those models. Additionally, LAION must now scrub the dataset of the imagery.

Developers

  • LAION

Deployers

  • Various people
  • Various organizations

Harmed parties

  • LAION
  • Various people
  • Various organizations
  • General public
  • Minors

Tags

  • CSAM
  • Data
  • Data set
  • LAION-5B
  • Stable Diffusion
  • Training data
  • Child sexual abuse material
  • response

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CSAM in training data causes generative models to produce illegal content, requiring retraining and dataset scrubbing.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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