Skip to Content
Artificial intelligence

Microsoft has created a tool to find pedophiles in online chats

January 10, 2020
A child uses a computer
A child uses a computerAssociated Press

The news: Microsoft has created an automated system to detect sexual predators trying to groom children online. The tool, code-named Project Artemis, is designed to spot patterns of communication in conversations.

Rating: On the basis of words and patterns of speech, the system assigns a rating for the likelihood that one of the participants is trying to groom the other. Companies implementing the technique can set a score (for example, 8 out of 10) above which any flagged conversations are sent to a human moderator to review. The moderators could potentially identify imminent threats and report them to law enforcement. It would also provide child protection experts with more information on how pedophiles operate online. Microsoft has been using these techniques for several years for its own products, including the Xbox platform and Skype, the company’s chief digital safety officer, Courtney Gregoire, said in a blog post.

How does it work? Microsoft hasn’t explained the precise words or patterns the tool hunts for—doing so could potentially cause predators to adjust their behavior to try to mask their activities. The tool is available free for companies that provide online chat functions, through a nonprofit called Thorn, which builds technology products to defend children from sexual abuse.

The risks: The system is likely to throw up a lot of false positives, since automated systems still struggle to understand the meaning and context of language. That means social-media companies will need to invest in more moderators if they are truly committed to tackling online grooming (and victims argue it is not clear that they are). The system also assumes that messages are not encrypted and that users consent to their private communications being read, which is not necessarily a given.

Sign up here to our daily newsletter The Download to get your dose of the latest must-read news from the world of emerging tech. 

Deep Dive

Artificial intelligence

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

What’s next for generative video

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.