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AI governance, standards, accountability and the organisational processes involved in responsible use, from a specialist in responsible AI, working on international standards for ethical deployment.
Business school professor working on AI, analytics and data strategy, focusing on the organisational capabilities, data foundations and skills required for AI to produce measurable business outcomes.
Oxford economist on globalisation and technological change who has argued publicly about the risks of unchecked AI. Examines AI through labour markets, inequality, development and the wider economic effects of automation.
The co-founder and first CEO of Netflix, exploring how corporate leaders can leverage artificial intelligence and continuous testing to de-risk radical product ideas, automate rapid experimentation, and construct resilient, future-proof business models.
Organisational psychologist working on people analytics and AI in hiring and talent, examining what algorithms can predict about people, where their limitations appear and how AI is used in workforce decisions.
Theoretical physicist and science communicator. Sets AI within the longer arc of scientific and technological change, connecting machine intelligence with wider questions about the future of science.
A futurist, veteran game developer, and founder of an award-winning AI digital fashion startup, exploring how machine learning transforms the creative economy, digital product tracking, and human experiences within immersive virtual platforms.
AI alongside quantum computing and other advanced technologies, with a focus on explaining complex scientific ideas, from a physicist and data scientist who translates technical subjects for general audiences.
Connections between AI and autonomous machines, drones, standards and the use of intelligent systems in the physical world, informed by an economist who co-founded a drone advisory business and chairs a national UAV standards committee.
Futurist tracking emerging technology and its commercial consequences, looking at emerging AI capabilities and how new developments may shape business strategy and future technology decisions.
Works on customer-centric strategy in disrupted markets, examining the customer relationship, including how automation changes interactions between organisations, customers and digital services.
AI events can span technology, business adoption, governance, ethics, the future of work and customer experience. The right speaker depends on whether the audience needs to understand the technology itself or what it means for their organisation.
A technical audience may want a researcher or practitioner with direct experience working with AI systems. Executive audiences may prefer a speaker who can connect AI with strategy, organisational decisions and people. Policy and governance events may call for a different background again. Speaker Ideas can shortlist around the purpose of the session rather than treating ‘AI speaker’ as a single type.
Conor Grennan
Chief AI Architect at a business school and founder of an AI adoption practice, focusing on how non-technical professionals learn to use AI tools and integrate them into everyday work.