Social media giant Twitter said on Monday that it would investigate its image-cropping function after users complained about favorite white faces on black. The image preview function of Twitter’s mobile app automatically crops photos that are too large to fit on the screen and selects which parts of the image to display and cut. Inspired by a graduate student who found an image that he was biting the face of a black co-worker, a San Francisco-based programmer found that the Twitter system would flush out images of President Barack Obama when he was with Republican Senate Leader Mick McConnell Was posted.
“Twitter is just one example of racism manifesting in machine learning algorithms,” programmer, Tony Arsieri, wrote on Twitter. One of the most popular social networks in the world, with around 200 million daily users. Other users shared similar experiments online. Said that Twitter’s cropping system is in favor of white people.
“Our team tested for bias before shipping the model and our test did not find evidence of racial or gender bias,” Twitter said in a statement. Although it said that it would look further into this issue. “It is clear from these examples that we have got to do more analysis. We said in our statement what we learn, what action we take and will open the source of our analysis, so that others can be reviewed and replicated. In a 2018 blog post, Twitter stated that the cropping system was based on a “neural network” that used artificial intelligence to predict what part of a user would be interesting to a user and harvest the rest. Will give.
A Twitter representative pointed to an experiment by a Carnegie Mellon University scientist who analyzed 92 images and found that the algorithm favored black faces 52 times. But AI Now Institute co-founder Meredith Whitaker, who studies the social impact of artificial intelligence, said he is not satisfied with Twitter’s response. The Thomson Reuters Foundation said, “Systems like Twitter’s image preview are implemented everywhere in the name of standardization and convenience.” “This is another in a long and weary litigation of precedents showing automatic systems with a history of racism, misconduct and discrimination.”
(This story has been published from a wire agency feed without textual modifications. Only the title has been changed.)
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