A crash course in the topic on everyone's lips, AI.
Machine Intelligence is an incredible new utility that our society can tap into at will, in a revolution that we haven't seen since electrification.
In today's technological landscape, we gain bewildering new capabilities at an incredible rate. Intelligent machines are beginning to understand the needs, drives, and even values of humanity, with huge opportunities for each of our lives and our global society.
Explore how every sector of our economy is being affected by this change, and grasp how big data is driving this process. Understand why the present wave of Broad AI is so special, so powerful, and unprecedented. Learn how AI is changing the world of work and education, serving as an incredible assistance and a source of knowledge, sometimes an unwelcome boss, and always an irresistible crutch. Learn how you, on your own, can make the most of these once-in-a-lifetime opportunities.
This keynote will explore the disruptive opportunities and challenges practically every sector in our economy in the wake of broad AI. A crash course on how to practically implement AI within your business is included to help you gain an edge through AI.
A crash course in how to innovate safely.
Machine Intelligence offers us powerful new ways to solve almost any problem we can imagine. It is revolutionizing every sector of our economy in a way similar to how electrification and motive power transformed life in the 20th century. Businesses will gain instant solutions to complex tasks, as we learn to apply the same techniques to streamline our lives at home. These technologies can transform our communities, making our world more safe and secure, and helping us to manage precious resources in new ways.
How can we make the most of these capabilities, and ensure that the spirit and wisdom of the human isn't lost in a sea of cold algorithms? How can we retain our humanity, whilst growing past our greatest weaknesses? How can we ensure that so much power can be applied in a way that is fair and equitable, which respects individual rights and cultural differences, and preserves human autonomy?
These days the question is less 'can we do something', and more 'dare we do it?' With so much power in technology, its fair and responsible application is crucial to avoid digital tyranny. How to enshrine principles such as Transparency, Accountability, and Fairness into AI in practical, actionable, testable criteria.
This keynote will explore the ethical considerations facing the tech industry, from issues of transparency, bias, and privacy, to accountability and responsible innovation. The result will be applications of technology which can be de-risked sufficiently for safer deployment. Innovators and responsible leaders should join this thought-provoking discussion on how we can ensure that technology serves the greater good, for individuals and society alike.
As AI races forward, it's giving us astonishing new powers. But should we wield them all? This session confronts the ethical minefield we navigate daily - privacy, bias, accountability. Discover how to innovate safely, ensuring technology benefits individuals and society. We'll explore the ethical issues of transparency, bias, privacy, accountability, healthy epistemics, AI safety, and responsible innovation. Then we'll outline how we can ensure that technology serves the greater good. This thought-provoking session is ideal for those who seek to embrace new technologies whilst managing exposure to the risks that come with it.
AI has crossed a threshold. Today's systems are no longer passive tools waiting for prompts. They are agentic: setting their own objectives, wielding specialized tools, coordinating in swarms, and operating autonomously over extended periods. Agent ensembles collaborate at scales humans cannot match. Agent-to-agent protocols let them negotiate, transact, and even hire humans for physical tasks. This is an exponential shift in capability, and our safety frameworks have not caught up.
This session examines the specific risks that agentic AI introduces: hallucination in high-stakes autonomous decisions, erosion of meaningful human oversight as agents chain actions across systems, and the emergence of agent economies that operate faster than any regulator can monitor. We explore practical safeguards at every level, from real-time hallucination detection and structured validation workflows to governance frameworks for multi-agent coordination.
Through live demonstrations and real-world case studies, the session equips technologists and decision-makers with concrete strategies for maintaining safety and accountability as AI systems grow increasingly autonomous.