Entities
View all entitiesIncident Stats
CSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
103
Special Interest Intangible Harm
yes
Notes (AI special interest intangible harm)
The cropping neutral network would crop the preview image in way that focused more on individuals with lighter completions, younger, female, or without disabilities.
Date of Incident Year
2020
CSETv1_Annotator-2 Taxonomy Classifications
Taxonomy DetailsIncident Number
103
AI Tangible Harm Level Notes
No tangible harm occured.
Special Interest Intangible Harm
yes
Notes (AI special interest intangible harm)
The cropping neutral network would crop the preview image in way that focused on individuals with lighter completions.
Date of Incident Year
2020
Date of Incident Month
09
GMF Taxonomy Classifications
Taxonomy DetailsKnown AI Goal Snippets
(Snippet Text: Twitter‘s algorithm for automatically cropping images attached to tweets often doesn’t focus on the important content in them. , Related Classifications: Image Cropping)
CSETv1_Annotator-3 Taxonomy Classifications
Taxonomy DetailsIncident Number
103
AI Tangible Harm Level Notes
Intangible harm
Special Interest Intangible Harm
yes
Date of Incident Year
2021
Date of Incident Month
5
Estimated Date
Yes
Incident Reports
Reports Timeline
- View the original report at its source
- View the report at the Internet Archive
Twitter‘s algorithm for automatically cropping images attached to tweets often doesn’t focus on the important content in them. A bother, for sure, but it seems like a minor one on the surface. However, over the weekend, researchers found th…
- View the original report at its source
- View the report at the Internet Archive
A study of 10,000 images found bias in what the system chooses to highlight. Twitter has stopped using it on mobile, and will consider ditching it on the web.
LAST FALL, CANADIAN student Colin Madland noticed that Twitter’s automatic croppi…
- View the original report at its source
- View the report at the Internet Archive
In October 2020, we heard feedback from people on Twitter that our image cropping algorithm didn’t serve all people equitably. As part of our commitment to address this issue, we also shared that we'd analyze our model again for bias. Over …
- View the original report at its source
- View the report at the Internet Archive
Twitter has laid out plans for a bug bounty competition with a difference. This time around, instead of paying researchers who uncover security issues, Twitter will reward those who find as-yet undiscovered examples of bias in its image-cro…
- View the original report at its source
- View the report at the Internet Archive
Twitter's first bounty program for AI bias has wrapped up, and there are already some glaring issues the company wants to address. CNET reports that grad student Bogdan Kulynych has discovered that photo beauty filters skew the Twitter sali…
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