The Alan Turing Institute UK

Unified AI Checking Model (UACM): A Rule + ML Hybrid for Ethical DPI Compliance and Trustworthy Digital Infrastructure.

Framing the concept of regional digital transformation: a systematic review

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/democ... 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-...   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

Avoiding the iron cage of AI technocracy based on the principle of reversibility of harm

The impacts of our changing climate are all around us, from rapid policy ice loss through to wildfires, droughts and flash floods. But through advances in environmental forecasting, we can protect lives, livelihoods and the natural world. Here at the Turing, we’re taking forward a mission with an end goal of operationalising accurate and efficient forecasting tools that can benefit people in the UK as well as in the regions most affected by climate change, such as the Global South and the Arctic.

Architecting for Autonomy: A Federated and Explainable AI Blueprint for UK Public Services

Cyber-attacks pose a growing threat to the essential systems we rely on every day – from clean water and power to transport and finance. At The Alan Turing Institute, researchers from our Defence and National Security Grand Challenge have embarked on a mission to defend critical national infrastructure. They are using advanced AI, including deep reinforcement learning, to build autonomous cyber defence systems that can protect the UK’s critical infrastructure 24/7. In this video, discover how simulated environments, red-teaming, and scalable AI tools are being developed to outpace evolving threats and shift the national cyber security landscape towards a safer future.