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• AI assurance for industry

Speaker: Dr. Amy Dickens. AI Assurance Lead. Department for Science, Innovation and Technology.  

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Tools for trustworthy AI- including AI assurance- are crucial to ensure the trustworthy and responsible use of AI systems.​​

In this talk, Amy will provide an overview of the UK government’s approach to AI assurance and introduce AI Management Essentials, the new self-assessment tool it is developing to support industry- particularly SMEs and scale-ups- to establish robust management practices for AI systems they develop and/or deploy. 
 

• Using AI-in-the-loop to support human oversight in high-stakes applications.

Speaker: Dr. Owen Parsons. Lead Machine Learning Scientist. Mind Foundry

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In high-stakes applications, AI-driven systems often rely on human-in-the-loop oversight, but this approach risks limiting human control and potentially causing harm. A safer way to frame this is through human-driven decision-making where AI supports rather than overrules human expertise. One effective method is using semi-supervised learning to guide expert human labellers, ensuring that machine learning models learn from efficiently sampled human expert data. By integrating AI-in-the-loop, we can enhance human oversight to help make decision-making processes more efficient and reliable.

This talk will explore how these approaches harness and amplify human expertise, leading to safer and more accountable AI systems.

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• Advancing responsible AI adoption for business: An introduction to the AI use case framework 

Speaker:

Arcangelo Leone de Castris. ​Research Associate. The Alan Turing Institute.

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​This session will offer practical insights into how business organisations can identify possible uses of AI in their area, understand the nature of relevant technological solutions, and develop a sound strategy to operationalise those solutions responsibly.
The session will provide a detailed overview of the AI use case framework, a tool recently published by researchers at The Alan Turing Institute to support businesses in their AI adoption journey.

The framework lays out some of the key information to consider when assessing the suitability of an AI use case and provides concrete foundations that organisations can build on based on case-specific needs and conditions.

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• Does using AI to accelerate decarbonisation outweigh its environmental impacts? 

Speaker: Sam Young. AI Practice Manager. Energy Systems Catapult.

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Tech optimists claim AI will solve climate change if we just invest enough in it. Environmentalists claim AI’s voracious appetite for energy is making it all the harder to achieve Net Zero. How do we trade off the potential for AI to help solve some of society’s big challenges with the risk that it will greatly exacerbate them if not handled well?

This talk will bring a systems thinking perspective to that question, and explore how we might tip the AI scales in favour of decarbonisation.​

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• Going fast with the UK's fastest supercomputer, Isambard-AI

Speaker: Dr Richard Gilham. Supercomputer Infrastructure Specialist. University of Bristol.

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​Richard is a Supercomputer Infrastructure Specialist, currently a key member of the team building Isambard-AI at Bristol Centre for Supercomputing (BriCS), within University of Bristol. Isambard-AI is due to be the fastest supercomputer in the UK when it goes fully operational in summer 2025 and is a critical element of the Government's recently announced AI Opportunities Action Plan. The session will explore the innovative approaches that allowed the design and build to proceed very rapidly for a project of this size, and the design decisions that have been made to make this game-changing supercomputer accessible to a diverse range of researchers beyond traditional supercomputing communities.

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• Ethics and the agentic turn.

Speaker: Dr Geoff Keeling. Staff Research Scientist at Google

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AI development is undergoing an agentic turn. Large models, including large language and multi-modal models, are not inherently agentic but instead constitute powerful cultural technologies drawing upon web-scale human data as a knowledge base. Yet leading AI labs are combining large models with affordances such as memory, reasoning, and planning modules, alongside application programming interfaces (APIs) for “tool” use. Their goal is to deliver a technological paradigm shift: a new generation of AI agents that can access vast knowledge repositories, automate tasks, and generate novel and creative solutions to complex problems. AI agents present a complex and largely unexplored ethical landscape.

In this talk, Geoff will examine four aspects of the ethics of AI agents: safety, relationships, multi-agent interaction, and safe exploration.

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• Living with AI: the next five years. Panel discussion and podcast recording.

Host. Ben Byford.  Machine Ethics Podcast.​

Panellists:

Dr.  Simon Fothergill. Lead AI Engineer. Lucent AI

Lucy Mason. Director. Capgemini Invent.

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 Join a lively discussion with a panel of experts to discuss the next five years of AI development. 

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