SAN FRANCISCO – Twitter yesterday said it is scrapping an automated image-cropping system after its review found bias in the algorithm controlling the function.
The messaging platform said it found the algorithm delivered “unequal treatment based on demographic differences”, with whites and males favoured over blacks and females, and an “objectification” bias focusing on a woman’s chest or legs, described as the “male gaze”.
The news comes a month after Twitter said it is launching an algorithmic fairness initiative as part of an effort to reduce bias on its platform introduced by automation.
The company in 2018 introduced a so-called saliency algorithm to crop images, aiming to improve consistency in the size of photos on one’s timeline and to focus on their most important elements.
Rumman Chowdhury, head of Twitter’s software engineering and a specialist in ethics and artificial intelligence, said the firm determined after its review that it is preferable to leave cropping decisions to users.
“We considered the trade-offs between the speed and consistency of automated cropping with the potential risks we saw in this research,” she said in a blog post.
“One of our conclusions is that not everything on Twitter is a good candidate for an algorithm, and in this case, how to crop an image is a decision best made by people.”
The announcement comes amid heightened concerns about advanced algorithms that can deliver biased results due to a lack of data on minorities or other factors.
This week, Amazon said it is extending a ban on law enforcement’s use of its facial recognition technology amid fears that its flaws could amplify racial bias.
Twitter’s initiative calls for “taking responsibility for our algorithmic decisions” with the aim of “equity and fairness of outcomes”, said the company. – AFP, May 20, 2021
