DALL-E 2 Reported for Gender and Racially Biased Outputs

April 1, 2022

OpenAI's DALL-E 2, a powerful text-to-image model, has reportedly encountered concerns regarding gender and racial bias. This highlights the importance of responsible AI governance, ensuring safe and secure AI practices for all users.

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Matched TAIM controls

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

MEASURE 2.6 — similarity 0.728, rank 1. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.727, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.723, rank 3. TAIM detail and related incidents →

Alleged deployer: openai
Alleged developer: openai
Alleged harmed parties: underrepresented-groups, minority-groups

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/179

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.