.avif)
“AI should expand human freedom to innovate - not narrow it.”
About
Dr. Daniel Hulme (PhD) is a globally recognised expert in Artificial Intelligence and an investor in emerging technologies. From applied AI in business to the frontier questions of AI safety and machine consciousness, his work focuses on what these systems can really do — and how to deploy them responsibly.
daniel's story
With a PhD and more than 25 years of commercial and research practice in Artificial Intelligence (AI), Daniel is recognised as one of the world's leading experts in the field. He's the Founder and CEO of Satalia, an award-winning AI company that was acquired by the world's largest marketing company in 2021, WPP, where he is now the Chief AI Officer. He has been recognised as one of the world's leading keynote speakers as well as one of the top ten Chief AI Officers globally. Amongst his many technology investments, Daniel is also Founder and CEO of the World's first commercial research organisation to understand Machine Consciousness, Conscium.
In his more than two decades of academic experience with AI, Daniel received his Masters and Doctorate in AI at UCL. He was previously Director of UCL’s Applied AI Masters Programme, and he is now UCL’s Computer Science Entrepreneur-in-Residence. Daniel is also an Impact Board Member of St Andrew’s University Computer Science department and the University of Sussex Informatics department, focused on using AI to solve business and social problems.
Passionate about how technology can be used to govern organisations and bring positive social impact, Daniel is a prolific keynote speaker for the world's largest technology companies, TEDx, and is a faculty member of Singularity University, specialising in AI, ethics, innovation and organisational design. Daniel is a contributor to numerous books, podcasts and articles on AI. His mission is to create a world where everyone has the freedom to innovate, and have those innovations become free to everyone. He has advisory and executive positions across companies and governments, and actively promotes purposeful entrepreneurship across the globe.
In his more than two decades of academic experience with AI, Daniel received his Masters and Doctorate in AI at UCL. He was previously Director of UCL’s Applied AI Masters Programme, and he is now UCL’s Computer Science Entrepreneur-in-Residence. Daniel is also an Impact Board Member of St Andrew’s University Computer Science department and the University of Sussex Informatics department, focused on using AI to solve business and social problems.
Passionate about how technology can be used to govern organisations and bring positive social impact, Daniel is a prolific keynote speaker for the world's largest technology companies, TEDx, and is a faculty member of Singularity University, specialising in AI, ethics, innovation and organisational design. Daniel is a contributor to numerous books, podcasts and articles on AI. His mission is to create a world where everyone has the freedom to innovate, and have those innovations become free to everyone. He has advisory and executive positions across companies and governments, and actively promotes purposeful entrepreneurship across the globe.
Professional Journey
Daniel’s foundation in AI began at University College London, where he studied Artificial Intelligence and completed a PhD exploring intelligence through biology — including research into the brains of bumblebees. That early work shaped a career-long interest in how complex systems learn, adapt, and make decisions, and how those principles can be applied to build useful, trustworthy machines.
In 2008, Daniel founded Satalia, initially as a research-led venture and then as a commercial AI company, spinning it out to bring advanced optimisation and machine learning into the real world. Under his leadership, Satalia grew into a globally recognised team solving high-stakes problems across sectors — from operational efficiency and resource allocation to forecasting and decision intelligence — helping organisations move beyond experimentation into scalable AI capability.
In 2021, Satalia was acquired by WPP, enabling its technology and expertise to accelerate AI adoption across the world’s largest marketing and communications group. Today, Daniel is Chief AI Officer at WPP and continues to lead Satalia’s mission to deploy AI responsibly — focusing on systems that deliver measurable outcomes while strengthening governance, transparency, and trust.
Alongside this work, Daniel is Co-Founder and CEO of Conscium, a commercial research organisation focused on verifying AI agents and exploring the implications of machine consciousness. He is UCL’s Computer Science Entrepreneur-in-Residence and a faculty member of Singularity University, advising organisations and governments internationally on the commercial, social, and ethical impact of AI.
In 2008, Daniel founded Satalia, initially as a research-led venture and then as a commercial AI company, spinning it out to bring advanced optimisation and machine learning into the real world. Under his leadership, Satalia grew into a globally recognised team solving high-stakes problems across sectors — from operational efficiency and resource allocation to forecasting and decision intelligence — helping organisations move beyond experimentation into scalable AI capability.
In 2021, Satalia was acquired by WPP, enabling its technology and expertise to accelerate AI adoption across the world’s largest marketing and communications group. Today, Daniel is Chief AI Officer at WPP and continues to lead Satalia’s mission to deploy AI responsibly — focusing on systems that deliver measurable outcomes while strengthening governance, transparency, and trust.
Alongside this work, Daniel is Co-Founder and CEO of Conscium, a commercial research organisation focused on verifying AI agents and exploring the implications of machine consciousness. He is UCL’s Computer Science Entrepreneur-in-Residence and a faculty member of Singularity University, advising organisations and governments internationally on the commercial, social, and ethical impact of AI.