By Nikola Todorovic, Google Engineering Lead; Abhi Chaudhuri, Google Product Manager, and Google
Using the internet as a means to spread content that sexually exploits children is one of the worst abuses imaginable.
That’s why since the early 2000s we’ve been investing in technology, teams, and working closely with expert organizations, like the Internet Watch Foundation, to fight the spread of child sexual abuse material (CSAM) online.
There are also many other organizations of all sizes that are deeply committed to this fight—from civil society groups and specialist NGOs to other technology companies—and we all work to ensure we share the latest technological advancements.
(Learn More. Internet Watch Foundation (IWF) works internationally to make the internet safer by removing images of child sexual abuse. IWF is an independent not for profit organization and works with the global internet industry and the European Commission. Courtesy of the Internet Watch Foundation and YouTube. Posted on Oct 9, 2014.)
Today we’re introducing the next step in this fight: cutting-edge artificial intelligence (AI) that significantly advances our existing technologies to dramatically improve how service providers, NGOs, and other technology companies review this content at scale.
By using deep neural networks for image processing, we can now assist reviewers sorting through many images by prioritizing the most likely CSAM content for review.
While historical approaches to finding this content have relied exclusively on matching against hashes of known CSAM, the classifier keeps up with offenders by also targeting content that has not been previously confirmed as CSAM.
(Learn More. The IWF never normally uses the term ‘child pornography’. We feel it acts to legitimize images which are not pornography, but are permanent records of children being sexually abused – crimes. That is why we use the term ‘child sexual abuse images’ and this is widely understood in the UK. Courtesy of the Internet Watch Foundation and YouTube. Posted on Aug 6, 2015.)
Quick identification of new images means that children who are being sexually abused today are much more likely to be identified and protected from further abuse.
We’re making this available for free to NGOs and industry partners via our Content Safety API, a toolkit to increase the capacity to review content in a way that requires fewer people to be exposed to it.
Susie Hargreaves OBE, CEO, Internet Watch Foundation, said: “We, and in particular our expert analysts, are excited about the development of an artificial intelligence tool which could help our human experts review material to an even greater scale and keep up with offenders, by targeting imagery that hasn’t previously been marked as illegal material.”
“By sharing this new technology, the identification of images could be speeded up, which in turn could make the internet a safer place for both survivors and users.”
We agree. This initiative will allow greatly improved speed in review processes of potential CSAM.
We’ve seen firsthand that this system can help a reviewer find and take action on 700% more CSAM content over the same time period.
We’ve been investing for years to tackle this challenge, developing technology to detect CSAM in ways that are precise and effective.
We’ve also been working across the industry and with NGOs to combat CSAM through our work in the Technology Coalition since 2006, with the WePROTECT Global Alliance, and through industry-wide initiatives aimed at sharing best practices and known hashes of CSAM.
(Learn More. The DHS Science and Technology Directorate is developing advanced forensic tools and techniques that help DHS Homeland Security Investigations rescue exploited children, track down child pornographers, and obtain convictions against child molesters worldwide. Courtesy of DHS Science and Technology Directorate and YouTube.)