Net 0++: Concrete arguments for AI

Computer Says Maybe

In our third episode about AI & the environment, Alix interviewed Sherif Elsayed-Ali, who’s been working on using AI to reduce the carbon emissions of concrete. Yes, that’s right — concrete.

This may seem like a very niche place to focus a green initiative on but it isn’t; concrete is the second most used substance in the world because it’s integral to modern infrastructure, and there’s no other material like it. It’s also one of the biggest carbon emitters in the world.

In this episode Sherif explains how AI and machine learning can make the process of concrete production more precise and efficient so that it burns much less fuel. Listen to learn about the big picture of global carbon emissions, and how AI can actually be used to actually reduce carbon output, rather than just monitor it — or add to it!

Sherif Elsayed-Ali trained as a civil engineer, then studied international human rights law and public policy and administration. He worked with the UN and in the non-profit sector on humanitarian and human rights research and policy, before embarking on a career in tech and climate.

Sherif founded Amnesty Tech, a group at the forefront of technology and human rights. He then joined Element AI (today Service Now Research), starting and leading its AI for Climate work. In 2020, he co-founded and became CEO of Carbon Re, an industrial AI company spun out of Cambridge University and UCL, developing novel solutions for decarbonising cement. He then co-founded Nexus Climate, a company providing climate tech advisory services and supporting the startup ecosystem.