Twitter Introduces Algorithmic Bias Bounty Challenge: $3,500 Prize For 1st Place

$1000 for second place, and $500 for third.


Twitter is introducing its first algorithmic bias bounty challenge. It’s a challenge where hackers and data scientists can come together to find bias in machine learning models. For those who don’t know what bias in ML is, it is precisely what the name suggests. Artificial Intelligence produces systemically prejudiced results due to wrong assumptions during the learning process.

The giant is partnering with HackerOne and AI Village to receive the challenge entries. Now, of course, there are cash prizes. The prize for 1st place is $3,500, followed by $1,000 for 2nd place. The 3rd place wins $500, and the most innovative algorithm wins $1,000. There’s another $1,000 for the most generalizable.

Twitter Algorithm Bias Bounty Challenge: How To Enter?

If you want to enter, all you need to do is visit this HackerOne page, create an account for the same if you don’t already have one. All the details regarding the challenge are on the same page, so read it thoroughly before submitting your report.

On the official Twitter blog, Twitter META Director Rumman Chowdhury and Twitter META Product Manager Jutta Williams write, “We’re inspired by how the research and hacker communities help the security field establish best practices for identifying and mitigating vulnerabilities to protect the public. We want to cultivate a similar community focused on ML ethics to help us identify a broader range of issues than we would be able to on our own. With this challenge, we aim to set a precedent at Twitter, and in the industry, for proactive and collective identification of algorithmic harms.”

The winners of the challenge are announced at the DEF CON AI Village workshop by Twitter. The event is scheduled for August 8th. Confused about something? The team is hosting a Twitter Space today at 12 PM PT to discuss the challenge.

Abubakar Mohammed

Abubakar Mohammed

Abubakar is a Linux and Tech Writer. Hailing from a Computer Science background, the start of his love for Tech dates back to 2011, when he was gifted a Dell Inspiron 5100. When he's not covering Tech, you'll find him binge-watching anime and Tech content on YouTube or hunting heads in competitive FPS games. You can also find his work on Android Police and How-To Geek.
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