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Incident 465: Generative Models Trained on Dataset Containing Private Medical Photos

Description: Text-to-image models trained using the LAION-5B dataset such as Stable Diffusion and Imagen were able to regurgitate private medical record photos which were used as training data without consent or recourse for removal.

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Alleged: Stability AI , Google and LAION developed an AI system deployed by Stability AI and Google, which harmed people having medical photos online.

Incident Stats

Incident ID
465
Report Count
1
Incident Date
2022-03-03
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Privacy & Security

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Pre-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident OccurrenceArtist finds private medical record photos in popular AI training data set
Artist finds private medical record photos in popular AI training data set

Artist finds private medical record photos in popular AI training data set

arstechnica.com

Artist finds private medical record photos in popular AI training data set
arstechnica.com · 2022

Late last week, a California-based AI artist who goes by the name Lapine discovered private medical record photos taken by her doctor in 2013 referenced in the LAION-5B image set, which is a scrape of publicly available images on the web. A…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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