DALL-E Mini Reportedly Reinforced or Exacerbated Societal Biases in Its Outputs as Gender and Racial Stereotypes

June 11, 2022

The open-source model, DALL-E Mini, has been identified by its developers and users as generating images that reinforce racial and gender stereotypes. This serves as a stark reminder of the need for safe and secure AI practices.

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Matched TAIM controls

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

MAP 1.6 — similarity 0.700, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.695, rank 2. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.690, rank 3. TAIM detail and related incidents →

Alleged deployer: boris-dayma
Alleged developer: boris-dayma, suraj-patil, pedro-cuenca, khalid-saifullah, tanishq-abraham, phuc-le-khac, luke-melas, ritobrata-ghosh
Alleged harmed parties: minority-groups, underrepresented-groups

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/262

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.