Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge and a Senior AI Fellow at the Alan Turing Institute. A leading voice on the real-world impact of artificial intelligence, Neil brings over 25 years of experience in machine learning research and deployment to his insightful... Read more
Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge and a Senior AI Fellow at the Alan Turing Institute. A leading voice on the real-world impact of artificial intelligence, Neil brings over 25 years of experience in machine learning research and deployment to his insightful talks.
As a former Director of Machine Learning at Amazon, Neil offers a unique perspective on the practical challenges of implementing AI in large-scale industrial systems. His work spans from the cutting edge of AI research to its applications in developing nations, giving him a global view of AI’s potential and pitfalls.
Neil is known for his ability to demystify complex AI concepts for non-technical audiences. He explores thought-provoking questions about the future of human-AI interaction, data privacy, and the ethical implications of AI deployment. His book, ‘The Atomic Human,’ delves into what AI means for our identity and society.
A compelling and engaging speaker, Neil combines technical expertise with a broader understanding of AI’s societal impact. He challenges audiences to think critically about our AI-driven future and offers valuable insights for businesses navigating the rapidly evolving landscape of artificial intelligence.
Drawing on his experience as Director of Machine Learning at Amazon and his current research, Neil discusses the practical realities of implementing AI in large-scale industrial settings.
Based on his book, The Atomic Human, Neil explores what makes human intelligence distinct from artificial intelligence and the implications for society.
Drawing on his work with Data Science Africa and interests in applying machine learning in African contexts, Neil discusses how AI can be used to address challenges in developing countries.
Based on his experience from AI policy and ethics boards, Neil provides insights on the key ethical considerations surrounding AI development and deployment.
Based on his academic positions as a professor at Cambridge and former Director of Studies, as well as his experience across industry, government and third sector Neil shares his perspectives on how to effectively teach and prepare students for careers in a world where AI is omnipresent.