Google, which owns YouTube, says that the machines are now superior to their human counterparts at flagging and removing offensive videos.
"Our machine learning systems are faster and more effective than ever before", YouTube said in the post.
YouTube claimed that during the past month or so when it's been testing new AI-powered detection and removal tools that over 75% of the videos it has removed for violent extremism were purged before receiving a single human flag.
"With over 400 hours of content uploaded to YouTube every minute, finding and taking action on violent extremist content poses a significant challenge", YouTube said on a blog.
Jigsaw, an incubator within Alphabet that builds technology to tackle various security challenges facing the world, including ISIS-fueled extremism, has started rolling out features using the company's "Redirect Method" to YouTube.
To go along with the progress being made, Google is is also hiring more experts from leading organizations (No Hate Speech Movement, Anti-Defamation League, Institute for Strategic Dialogue), showing curated playlists to people searching for, "sensitive keywords" that help to debunk messages about violet extremism, and introducing more rigorous standards for videos that aren't illegal but have still be flagged by users who find that the content violates YouTube's hate speech policies. It also follows a springtime marketer revolt over ads' unwanted proximity to hateful and violent video on YouTube.
A month after announcing the changes, and following United Kingdom home secretary Amber Rudd's repeated calls for USA technology firms to do more to tackle the rise of extremist content, Google's YouTube has said that its machine learning systems have already made great leaps in tackling the problem.
The push comes after several terrorist attacks around the globe, including in the U.K. In June.
Despite the progress, YouTube said more needs to be done to combat extremist content that lives on its site.
Accuracy: The accuracy of our systems has improved dramatically due to our machine learning technology. "We look forward to sharing more with you in the months ahead".