{"id":80163,"date":"2020-10-02T10:18:55","date_gmt":"2020-10-02T07:18:55","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/twitter-wants-to-tackle-its-biased-image-cropping-problem-by-giving-you-control-instead\/"},"modified":"2020-10-02T10:18:55","modified_gmt":"2020-10-02T07:18:55","slug":"twitter-wants-to-tackle-its-biased-image-cropping-problem-by-giving-you-control-instead","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/twitter-wants-to-tackle-its-biased-image-cropping-problem-by-giving-you-control-instead\/","title":{"rendered":"#Twitter wants to tackle its biased image cropping problem by giving you control instead"},"content":{"rendered":"

“#Twitter<\/a> wants to tackle its biased image cropping problem by giving you control instead<\/strong>”
\n<\/p>\n

\n Last month, a bunch of users tweeted about how Twitter\u2018s image cropping algorithm seems to have a bias towards fair-skinned people.<\/p>\n

When users posted uncropped images containing both light and dark-skinned people, the social network\u2019s algorithm often showed the light-skinned person in the preview.<\/p>\n

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Trying a horrible experiment\u2026<\/p>\n

Which will the Twitter algorithm pick: Mitch McConnell or Barack Obama? pic.twitter.com\/bR1GRyCkia<\/a><\/p>\n

\u2014 Tony \u201cAbolish (Pol)ICE\u201d Arcieri ? (@bascule) September 19, 2020<\/a>\n<\/p><\/blockquote>\n

At that time, Twitter said, while its algorithm was tested for bias, it will conduct further investigations to resolve the issue. Last night, in an update, the company said it\u2019s planning to give users more control over how the final image will look like:<\/p>\n

We are prioritizing work to decrease our reliance on ML-based image cropping by giving people more visibility and control over what their images will look like in a Tweet. We\u2019ve started exploring different options to see what will work best across the wide range of images people Tweet every day.<\/span><\/p>\n<\/blockquote>\n

The social network explained that it\u2019s machine learning algorithm relies on saliency \u2014 a measure that\u00a0predicts where people might look first in an image. It said the system was tested for bias between a different range of demographic groups, and the team didn\u2019t find any bias. But the company said, \u201cthe way we automatically crop photos means there is a potential for harm.\u201d<\/span><\/p>\n

Twitter didn\u2019t describe the way it intends to implement the new image cropping system and said it\u2019s exploring different ways. It\u2019ll try to design the algorithm in such a way that what you see in the image composer is what you\u2019ll get in the finally posted image with a tweet. However, images with non-standard resulotion\u00a0 \u2014 such as long images posted in the tweet above \u2014 will require some experimental features for final presentation.<\/p>\n

While we\u2019ll have to wait for a while to see what the final implementation looks like, Twitter should make its findings and experimentation methods open-source for researchers to test the algorithm against bias before it\u2019s rolled out to all users.<\/p>\n

So you\u2019re interested in AI? Then <\/span>join our online event, TNW2020<\/span>, where you\u2019ll hear how artificial intelligence is transforming industries and businesses.<\/span><\/em><\/p>\n

\n Published October 2, 2020 \u2014 07:18 UTC<\/p><\/div>\n