Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

AI for counterterrorism

Marc Warner (ASI)
11:05–11:45 Thursday, 11 October 2018
Secondary topics:  Computer Vision, Ethics, Privacy, and Security
Average rating: ****.
(4.00, 1 rating)

Who is this presentation for?

  • C-level executives, business leaders, heads of data science, and policy makers

What you'll learn

  • Explore the impact of AI on national security, how AI can be used for counterterrorism, and open tools developed for use on global sharing platforms


Lone-wolf terrorism is on the rise and often perpetuated through high-production-value propaganda on the web. The UK Home Office has successfully encouraged the large online content platforms to invest in automated detection technology that can spot and remove these videos. However, the videos remain available on a large number of smaller video hosting platforms, which do not have the AI expertise or the resources necessary to develop their own detection capabilities. How can these companies play a role in the fight against terror?

Collaborating with the UK Home Office Counterterrorism Unit, ASI Data Science built a tool that removes extremist propaganda from the web. Drawing on this experience, Marc Warner details a platform-agnostic algorithm that can detect and flag up extremist propaganda for review. This work is evidence of the impact AI can have on national security and the part tech firms, large and small, have to play in the fight against terrorism.

Photo of Marc Warner

Marc Warner


Marc Warner is the cofounder and CEO of ASI Data Science. He founded ASI in the belief that the benefits of AI should extend to everyone and has shaped the company so that it can support organizations of all shapes and sizes to take advantage of rapid advances in this field. In the two years since founding ASI, Marc has overseen its growth to more than 50 employees and expanded its scope from a small fellowship scheme to a cutting-edge range of software, training, project, and advisory services. He has led over 50 data science projects for clients ranging from multinational companies like EasyJet and Siemens to the UK government and NHS. His work has been covered by the BBC, the Telegraph, the Independent, and many more. Previously, Marc was the Marie Curie Fellow of Physics at Harvard University, studying quantum metrology and quantum computing. His PhD research, in the field of quantum computing, was awarded the Stoneham prize and was published in Nature and covered in the New York Times.