← the record
AIAAIC-1530

LAION-400M dataset features racist, derogatory, pornographic content

T he LAION-400M dataset contained 'troublesome and explicit images and text pairs of rape, pornography, malign stereotypes, racist and ethnic slurs, and other extremely problematic content , ' according t o researchers. A audit (pdf) by University College Dublin, University of Edinburgh and UnifyID r esearchers found that 'When the researchers typed the word “Korean,” LAION-400M didn’t bring up images of BTS or bulgogi, but naked Korean women. Searching the word “Indian” brought up pictures of South Asian women being raped. 'Best president' brought up images of Donald Trump.' The researchers argued that LAION-400M and other large data sets are rarely managed in the interests of the individuals and organisations whose data is being collected and used , and that they are unlikely to have been properly cleaned. 'The rights of the data subject remain unaddressed here' the researchers argue (pdf). 'It is reckless and dangerous to underplay the harms inherent in such large scale datasets and encourage their use in industrial and commercial settings. The responsibility of the licence scheme under which the dataset is provided falls solely on the dataset creator.' System 🤖 LAION-400M Operator: Alphabet/Google; Prisma Labs; Stability AI Developer: LAION Country: Germany Sector: Technology Purpose: Pair text and images Technology: Database/dataset; Neural network; Deep learning; Machine learning Issue: Bias/discrimination - race, ethnicity; Copyright; Ethics/values; Privacy; Safety; Tr ansparency

Date it happened
2022-12-01
Organisation involved
Google; Prisma Labs; Stability AI
Product, system or model
LAION-400M
Where this came from
Share this incident
XLinkedInFacebookWhatsAppEmail
Attribution

This incident was imported from AIAAIC and is used under CC BY-SA 4.0. Our additions to it — the structured fields, the translation, the checks against other reports — are published under the same licence.

This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.