Facebook rolls out AI to detect suicidal posts before they're reported Posted by Damien Biddulph on Tue 28th Nov 2017
This is software to save lives. Facebook’s new “proactive detection” artificial intelligence technology will scan all posts for patterns of suicidal thoughts, and when necessary send mental health resources to the user at risk or their friends, or contact local first-responders. By using AI to flag worrisome posts to human moderators instead of waiting for user reports, Facebook can decrease how long it takes to send help.
Facebook also will use AI to prioritize particularly risky or urgent user reports so they’re more quickly addressed by moderators, and tools to instantly surface local language resources and first-responder contact info. It’s also dedicating more moderators to suicide prevention, training them to deal with the cases 24/7, and now has 80 local partners like Save.org, National Suicide Prevention Lifeline and Forefront from which to provide resources to at-risk users and their networks.
“This is about shaving off minutes at every single step of the process, especially in Facebook Live,” says VP of product management Guy Rosen. Over the past month of testing, Facebook has initiated more than 100 “wellness checks” with first-responders visiting affected users. “There have been cases where the first-responder has arrived and the person is still broadcasting.”
The idea of Facebook proactively scanning the content of people’s posts could trigger some dystopian fears about how else the technology could be applied. Facebook didn’t have answers about how it would avoid scanning for political dissent or petty crime, with Rosen merely saying “we have an opportunity to help here so we’re going to invest in that.” There are certainly massive beneficial aspects about the technology, but it’s another space where we have little choice but to hope Facebook doesn’t go too far.
[Update: Facebook’s chief security officer Alex Stamos responded to these concerns with a heartening tweet signaling that Facebook does take seriously responsible use of AI.
The creepy/scary/malicious use of AI will be a risk forever, which is why it's important to set good norms today around weighing data use versus utility and be thoughtful about bias creeping in. Also, Guy Rosen and team are amazing, great opportunity for ML engs to have impact. https://twitter.com/JoshConstine/status/935177132350648320 …
Facebook CEO Mark Zuckerberg praised the product update in a post today, writing that “In the future, AI will be able to understand more of the subtle nuances of language, and will be able to identify different issues beyond suicide as well, including quickly spotting more kinds of bullying and hate.”
Unfortunately, after TechCrunch asked if there was a way for users to opt out, of having their posts a Facebook spokesperson responded that users cannot opt out. They noted that the feature is designed to enhance user safety, and that support resources offered by Facebook can be quickly dismissed if a user doesn’t want to see them.]
Facebook trained the AI by finding patterns in the words and imagery used in posts that have been manually reported for suicide risk in the past. It also looks for comments like “are you OK?” and “Do you need help?”
“We’ve talked to mental health experts, and one of the best ways to help prevent suicide is for people in need to hear from friends or family that care about them,” Rosen says. “This puts Facebook in a really unique position. We can help connect people who are in distress connect to friends and to organizations that can help them.”
How suicide reporting works on Facebook now
Through the combination of AI, human moderators and crowdsourced reports, Facebook could try to prevent tragedies like when a father killed himself on Facebook Live last month. Live broadcasts in particular have the power to wrongly glorify suicide, hence the necessary new precautions, and also to affect a large audience, as everyone sees the content simultaneously unlike recorded Facebook videos that can be flagged and brought down before they’re viewed by many people.
Now, if someone is expressing thoughts of suicide in any type of Facebook post, Facebook’s AI will both proactively detect it and flag it to prevention-trained human moderators, and make reporting options for viewers more accessible.
When a report comes in, Facebook’s tech can highlight the part of the post or video that matches suicide-risk patterns or that’s receiving concerned comments. That avoids moderators having to skim through a whole video themselves. AI prioritizes users reports as more urgent than other types of content-policy violations, like depicting violence or nudity. Facebook says that these accelerated reports get escalated to local authorities twice as fast as unaccelerated reports.
Facebook’s tools then bring up local language resources from its partners, including telephone hotlines for suicide prevention and nearby authorities. The moderator can then contact the responders and try to send them to the at-risk user’s location, surface the mental health resources to the at-risk user themselves or send them to friends who can talk to the user. “One of our goals is to ensure that our team can respond worldwide in any language we support,” says Rosen.
Back in February, Facebook CEO Mark Zuckerberg wrote that “There have been terribly tragic events — like suicides, some live streamed — that perhaps could have been prevented if someone had realized what was happening and reported them sooner . . . Artificial intelligence can help provide a better approach.”
With more than 2 billion users, it’s good to see Facebook stepping up here. Not only has Facebook created a way for users to get in touch with and care for each other. It’s also unfortunately created an unmediated real-time distribution channel in Facebook Live that can appeal to people who want an audience for violence they inflict on themselves or others.
Creating a ubiquitous global communication utility comes with responsibilities beyond those of most tech companies, which Facebook seems to be coming to terms with.