CHINAEUROPE AFRICAASIA 中文双语Français
World\作废节点\Kaleidoscope

AI helps to prevent Facebook suicide attempts

China Daily | Updated: 2017-11-29 08:32

SAN FRANCISCO - US tech giant Facebook said on Monday that it is using artificial intelligence technology, including pattern recognition, to detect whether someone is expressing thoughts of suicide in a post or live video.

"Facebook is a place where friends and family are already connected and we are able to help connect a person in distress with people who can support them," the company said in a statement.

It said it is "using pattern recognition to detect posts or live videos where someone might be expressing thoughts of suicide, and to help respond to reports faster".

The world's largest social network also said it now has more workers to review reports of suicide and self-harm.

Facebook uses signals like the text in the post or comments, such as "Are you ok?", "Can I help?" as a warning that can alert first responders to help anyone who is thought to be likely to commit suicide.

"We are starting to roll out artificial intelligence outside the United States to help identify when someone might be expressing thoughts of suicide, including on Facebook Live. This will eventually be available worldwide, except the European Union," Facebook said.

Facebook currently has 2 billion users worldwide.

The move is a part of an effort to further support its at-risk users. Facebook has faced criticism for its Facebook Live feature, where some people have livestreamed graphic events, including suicide.

Xinhua

BACK TO THE TOP
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US