The Atomic Human

expertly explains the capabilities — and limitations — of machine intelligence * Financial Times, best summer books of 2024 *The clarity, authority, wit and insight Lawrence brings to bear are like torches shining into the turbulent darkness of a subject we all wonder at, but which we mostly feel unable to even to think or talk about with any confidence. Hugely recommended – Stephen Fryfascinating debut book – Andrew Robinson * Nature *for anyone and everyone who is interested in what makes humans different from machines by one of the world’s experts in AI research. Understanding the differences more may help us live in harmony alongside very intelligent machines so that we can worry less about existential threats and more about how we work with intelligent machines to make the world a better place – Dame Wendy Hall, co-author of Four InternetsAccording to Professor Neil Lawrence, all of us suffer from locked-in syndrome … I have been gripped by this insight. Lawrence’s book concludes that whatever AI becomes, and whether or not it ultimately poses a threat to our species, it will never replicate or penetrate the essence of what it means to be human … To be a human is, indeed, to be locked in. But it is in our struggle against inarticulacy that we find our deepest voice and highest meaning – Matthew Syed * The Sunday Times *A brilliant technological and philosophical tour de force by one of the world’s foremost authorities on the world of AI and machine learning … at once fascinating, entertaining, and a deeply serious study on one of the most consequential emerging technologies humans have ever developed. Lawrence … argues machines and AI are viewed and used as tools to assist humans and we must never concede control of fundamental decisions of great consequence. A great book by an obviously brilliant author – Mark A. Milley, General, US Army (Ret), 20th Chairman, US Joint Chiefs of StaffThis is an utterly absorbing account of humans, computers, and how much they differ. It explains why AI cannot substitute for human intelligence even as machine intelligence poses enormous challenges for how information is used and societies are organised – Dame Diane Coyle, author of Cogs and MonstersThe intellectual sweep of Sapiens focused on understanding and contrasting human and machine intelligence and what this means for society. Professor Lawrence invites the general reader to join him in the debate, effortlessly bridging C. P. Snow’s ‘two cultures’ with lucid accessible explanations of key concepts from mathematics and computer science and resonant human and cultural stories by way of Democritus, Ernest Hemingway and the information contained in our assumptions about what car his mother drives – Dr Jean Innes, CEO The Alan Turing InstituteAn enlightening read on AI. Lawrence reminds us that brilliant story telling is the human way to communicate at scale given our otherwise structurally low bandwidth. My main take away is the importance of the difference between intelligence as a property rather than intelligence as an entity – Lord Petitgas, UK Prime Minister’s Special Adviser on Business and InvestmentNeil Lawrence is one of the world’s foremost authorities on AI and one of the few who has deployed AI in large-scale industrial systems. He is also a rare technical leader who understands AI as part of a long evolution of human beings interacting with other intelligences in a cognitive landscape. In this thoughtful and engaging book – ranging from James Watt’s steam engines to World War II gunners and the Apollo lunar landings – Lawrence shows us what’s novel and what’s human about AI. A must read for anyone seeking to understand AI’s place in our world and how to harness it for human flourishing – David A. Mindell, Dibner Professor of the History of Engineering and Manufacturing, and Professor of Aeronautics and Astronautics, MIT

Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge where he leads the university-wide initiative on AI, and a Senior AI Fellow at the Alan Turing Institute. Previously he was Director of Machine Learning at Amazon, deploying solutions for Alexa, Prime Air and the Amazon supply chain. Co-host of the Talking Machines podcast, he’s written a series for The Guardian and appeared regularly on other media. Known for his policy and societal work with the UK’s AI Council, the Centre for Data Ethics and Innovation, and the OECD’s Global Partnership on AI, his research focuses on improving data governance, accelerating scientific discovery, and how humans can take back control of large AI systems.