ΑΙhub.org
 

The Truth about AI – 2023 Royal Institute Christmas Lectures with Mike Wooldridge


by
05 January 2024



share this:


Every year, the Royal Institute hosts a series of three lectures over the Christmas period. Initiated by Michael Faraday, the idea behind these talks is to present science to children in an exciting way. Past series have covered topics such as forensic science, planet earth, and the hidden power of maths. This year, it was the turn of AI, with the lectures given by Professor Mike Wooldridge.

With the help of other experts in the field, Mike used hands-on demonstrations, involving members of the audience, to help explain different concepts core to machine learning and artificial intelligence. In the first lecture, for example, a simple classification neural network was represented by liquid filling containers to activate a “neuron”. In the second lecture, there was even an appearance from a dog to help explain reinforcement learning.

Watch the lectures

If you are based in the UK, you can watch the three episodes on the BBC iPlayer
The Truth about AI: 1. How to Build an Intelligent Machine
The Truth about AI: 2. My AI Life
The Truth about AI: 3. The Future of AI: Dream or a Nightmare?

If you outside of the UK, you can watch the series on YouTube.

You can find out more about the Christmas Lectures here.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.

The Machine Ethics podcast: moral agents with Jen Semler

In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

  23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

  20 Feb 2026
In this episode, Eleanor and Kerry talk to Beryl Pong about what it means to think about drones as “good” or “ethical” technologies.

Relational neurosymbolic Markov models

and   19 Feb 2026
Relational neurosymbolic Markov models make deep sequential models logically consistent, intervenable and generalisable

AI enables a Who’s Who of brown bears in Alaska

  18 Feb 2026
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season.

Learning to see the physical world: an interview with Jiajun Wu

and   17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

3 Questions: Using AI to help Olympic skaters land a quint

  16 Feb 2026
Researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence