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AI Incident Database - Incident 367

Source evidence cited by public records. This page shows where the source is used, its trust tier, and when it was last checked in the seed.

Trust tier
secondary
Linked records
3
Edges
9
Checked
checked 8d ago

Records using this source

  • minority-groups

    entity | 4 June 2026 | 70%

    minority-groups - organisation named in the AI Incident Database harm index.

  • underrepresented-groups-in-training-data

    entity | 14 Sept 2022 | 70%

    underrepresented-groups-in-training-data - organisation named in the AI Incident Database harm index.

  • iGPT, SimCLR Learned Biased Associations from Internet Training Data

    event | 14 Sept 2022 | 78%

    Unsupervised image generation models trained using Internet images such as iGPT and SimCLR were shown to have embedded racial, gender, and intersectional biases, resulting in stereotypical depictions.

Source details

  • Type: research

  • Tier: secondary

  • Publisher: AI Incident Database

  • Last checked: 9 July 2026

Public URL

https://incidentdatabase.ai/cite/367/
Cite this record

"AI Incident Database - Incident 367." https://www.productionai.institute/graph/sources/src-aiid-cite-367 (observed 2026-07-09; retrieved 2026-07-17). PAI.

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