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The Turing Podcast

The Turing Podcast

By: The Alan Turing Institute
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The Turing Podcast is an exciting podcast from The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.Copyright The Alan Turing Institute 2024 All rights reserved. Physics Science Social Sciences
Episodes
  • Navigating Change: AI in Arctic Sea Ice Forecasting
    Nov 6 2025

    The Arctic is undergoing rapid changes due to climate change, making sea ice forecasting increasingly important. In this episode of the Turing Podcast, hosts Amelia Jabry and Dr. Sophie Arana discuss the critical role of AI models like IceNet in predicting sea ice conditions and aiding conservation efforts. Featuring Dr. Ellie Bowler from the British Antarctic Survey, the conversation dives into the technical details of IceNet, its applications for wildlife conservation, and the challenges of predicting sea ice dynamics. The discussion also covers the importance of these predictions for indigenous communities and wildlife that rely on the frozen Arctic landscape. Learn how AI is revolutionising our approach to these urgent environmental challenges.

    Read more about our environmental forecasting work here: https://www.turing.ac.uk/blog/democratising-environmental-forecasting-age-ai

    Explore IceNet: https://icenet.ai/

    Find out more about Dr Ellie Bowler's publications: https://www.bas.ac.uk/profile/eller/

    Read more about Dr Sophie Arana here: https://www.turing.ac.uk/people/dr-sophie-arana

    Chapters:

    00:00 Introduction to Arctic Climate Change 00:39 Meet the your host Amelia and co-host Dr Sophie Arana 00:57 Understanding the Role of a Research Application Manager 01:47 Introduction to ICE Net 02:47 AI vs. Traditional Physics-based Forecasting Models 03:40 Human Expertise and AI Collaboration 04:56 Introducing Dr. Ellie Bowler and her sea ice and caribou migration forecasting research 06:21 Challenges in Sea Ice Forecasting 10:01 Caribou Migration and Conservation 12:30 Impact of Human Activities on Arctic Wildlife 16:38 Innovative Conservation Methods 23:25 Future of ICE Net and AI in Conservation 26:54 Conclusion and Further Resources
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    28 mins
  • The Cyber Cold War: How AI is Defending Our Critical National Infrastructure
    Jul 2 2025

    New podcast - defending our critical national infrastructure.

    Podcast host Amelia Jabry is joined by co-host and Turing Principal Research Scientist, Vasilios Mavroudis to explore how AI is reshaping both the defence and attack of vital systems like healthcare, energy and transport. With the help of special guest, Microsoft’s Director of Global AI & Cybersecurity Policy Nicholas Butts, they ask: how vulnerable are our power grids, water systems, and communications networks in the age of advanced AI? And what are organisations like the Alan Turing Institute and Microsoft are doing to protect these essential services?

    Episode Notes

    Please find below a list of resources and news articles that were mentioned in the podcast:

    • Microsoft Digital Defense Report 2024
    • Glossary - AIRC
    • Staying ahead of threat actors in the age of AI | Microsoft Security Blog
    • https://www.thestack.technology/ai-agent-whisperer-liberates-llm-to-spout-filthy-cardy-b-lyrics/
    • https://www.bbc.co.uk/news/articles/c0el31nqnpvo
    • https://www.bbc.co.uk/news/articles/czx1qp64wrno

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    49 mins
  • Defining AI safety
    Nov 12 2024

    Ed and David chat with Professor Ibrahim Habli, Research Director at the Centre for Assuring Autonomy in the University of York, and director of the UKRI Centre for Doctoral Training in Safe AI Systems. The conversation covers the topic of defining and contextualising AI safety and risk, given existence of existing safety practices from other industries. Ibrahim has collaborated with The Alan Turing Institute on the "Trustworthy and Ethical Assurance platform", or "TEA" for short, an open-source tool for developing and communicating structured assurance arguments to show how data science and AI tech adheres to ethical principles.

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    54 mins
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