Andrew Kelly / Reuters
Twitter has launched a bounty contest through HackerOne to reward anyone who discovers a “bias” in the system’s automatic cropping of images. Speaking of bounties, there is generally a bug bounty program that pays prizes to those who discover security problems or processing defects, but this time Twitter started by users posting This is a contest-style program that seeks to find out if there is any bias in the algorithm for cropping the photos in order to make them into thumbnails.
Twiiter’s automatic image cropping began to be used in 2018, but some users have criticized the algorithm for tending to be biased towards white-skinned people. I did.
“We stopped offering image cropping algorithms in May, shared an approach to identify cognitive biases, and released code to allow people to reproduce our work,” Twitter said.Said on the blog“We would like to work with and encourage the community to take this work further and identify potential issues,” he said.
According to Twitter, this bounty contest is a bounty program that targets the “industry’s first” algorithm bias. Despite the modest prizes of up to $ 3,500, Rumman Chowdhury, director of the Machine Learning Ethics and Transparency and Accountability team on Twitter, said, “It’s hard to spot machine learning model bias. Sometimes companies only notice unintended ethical issues when they are generally discovered. We want to change that. “
“We believe that those who identify these issues should be rewarded, and we cannot solve these issues on our own,” he said. This contest will accept entries from July 30, 2021 to August 6, 2021. Winners will be announced at the DEF CON AI Village workshop hosted by Twitter on August 8th.
（Source：Twitter.. Reprinted from the Japanese version of Engadget)
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Category: Public / Diversity
Tags: Machine Learning / ML (Terms), Discrimination (Terms), Accountability (Terms), Twitter / Twitter (Companies), DEF CON, Hackers / Hacking (Terms), HackerOne (Companies / Services), Bias (Terms), Bug Bounty / Bug Bounty System (Terms), Ethics (Terms)
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