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2Jun

How to talk to AI

Hosted by the Data Science Institute and Space House
In-person public event (Space House, 12 Keeley Street, London, WC2B 4BA)
Tuesday 2 June 2026 6pm - 8pm

Speaker

Jamie Bartlett
Headshot of Jamie Bartlett

Hundreds of millions of people now talk AI, every day. Artificial Intelligence has the power to reshape society faster than any technology in modern history. However, most people still don’t understand how these new AI systems work, how to make the most of them, or what the dangers are.

In his new book ‘How to Talk to AI’, award-winning technology writer Jamie Bartlett explores how we actually communicate with these machines, and what happens if we get it wrong.

Jamie is joined by Dr Jon Cardoso-Silva (Assistant Professor at the DSI). They will discuss Bartlett’s new book, and what it really means to communicate effectively with AI.

Event timings:

  • Drinks reception from 6.00pm
  • Talk begins at 6.30pm

Signed copies of Jamie Bartlett's book will be available to buy on the night.

Meet our speaker and chair

Jamie Bartlett is one of the UK’s leading technology writers and thinkers. His previous books include The People Vs Tech, winner of the Transmission Prize and longlisted for the 2019 Orwell Prize for Political Writing, and The Dark Net. He wrote and presented The Missing Cryptoqueen, which reached number 1 in the podcast charts around the world, and his Ted Talk about the dark net has been watched nearly six million times. In 2010 Jamie founded the UK’s first AI research unit at leading ThinkTank Demos and he has written from the frontier of technological change for decades - predicting the growth of internet conspiracy theories in 2008; the rise of the radical right wing in 2010; the growing influence of cryptocurrency since 2012; and social media’s threat to democracy in 2017.

Dr Jon Cardoso-Silva is an Assistant Professor (Education) in the LSE Data Science Institute where he teaches modern best practices for the collection, storage and manipulation of data for analytics and AI. Jon co-leads the GENIAL project, a study that looks into how the use of AI by undergraduate students impact, or interfere, with their learning experience at university.


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