Twitter is applying the bug bounty model to machine learning.
The micro-blogging site has launched the industrys first algorithmic bias bounty competition.
The company now wants to incentivize the community to find further unidentified risks of the algorithm.
The winners of the challenge will receive cash prizes of up to $3,500.
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The cropping algorithm estimates what people want to see first within a picture.
This calculation then determines how an image is cropped to an easily viewable size.
The model was trained on human eye-tracking data to predict a saliency score on all regions of a picture.
It then chooses the point with the highest score as the center of the crop.
After receiving feedback that the algorithm didnt serve all people equitably, Twitter analyzed the model for biases.
The researchers uncovered underlying issues that favored white individuals over Black people.
Their mission is to demonstrate potential harms that such an algorithm may produce.
Notably, Twitter has created a grading rubric that articulates algorithmic harms in a way that didnt previously exist.
Theintroduction of monetary rewards will add further encouragement.
Thechallengeis open for entries until 11:59PM PT on August 6.
The winners will be announced atthe DEF CON AI Village workshopon August 8.
Anyone with a HackerOne account can participate in the competition.
Story byThomas Macaulay
Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he e(show all)Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he enjoys playing chess (badly) and the guitar (even worse).
