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Incident 179: DALL-E 2 Reported for Gender and Racially Biased Outputs

Description: Developers of OpenAI's DALL-E 2 cited risks of the model, varying from misuse as disinformation and explicit content generation, to gender and racial bias.

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Alleged: OpenAI developed and deployed an AI system, which harmed underrepresented groups and Minority Groups.

Incident Stats

Incident ID
179
Report Count
3
Incident Date
2022-04-01
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
GMF, MIT

GMF Taxonomy Classifications

Taxonomy Details

Known AI Goal Snippets

One or more snippets that justify the classification.
 

(Snippet Text: Without sufficient guardrails, models like DALL·E 2 could be used to generate a wide range of deceptive and otherwise harmful content, and could affect how people perceive the authenticity of content more generally., Related Classifications: Visual Art Generation)

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
 

1.1. Unfair discrimination and misrepresentation

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. Discrimination and Toxicity

Entity

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

AI

Timing

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

Post-deployment

Intent

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

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceDALL·E 2 Preview - Risks and LimitationsA new AI draws delightful and not-so-delightful imagesAI art tool DALL-E 2 adds 'black' or 'female' to some image prompts
DALL·E 2 Preview - Risks and Limitations

DALL·E 2 Preview - Risks and Limitations

github.com

A new AI draws delightful and not-so-delightful images

A new AI draws delightful and not-so-delightful images

vox.com

AI art tool DALL-E 2 adds 'black' or 'female' to some image prompts

AI art tool DALL-E 2 adds 'black' or 'female' to some image prompts

newscientist.com

DALL·E 2 Preview - Risks and Limitations
github.com · 2022

Summary

Below, we summarize initial findings on potential risks associated with DALL·E 2, and mitigations aimed at addressing those risks as part of the ongoing Preview of this technology. We are sharing these findings in order to enable br…

A new AI draws delightful and not-so-delightful images
vox.com · 2022

You may have seen some weird and whimsical pictures floating around the internet recently. There’s a Shiba Inu dog wearing a beret and black turtleneck. And a sea otter in the style of “Girl with a Pearl Earring” by the Dutch painter Vermee…

AI art tool DALL-E 2 adds 'black' or 'female' to some image prompts
newscientist.com · 2022

Researchers experimenting with OpenAI's text-to-image tool, DALL-E 2, noticed that it seems to covertly be adding words such as "black" and "female" to image prompts, seemingly in an effort to diversify its output

Artificial intelligence fi…

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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