Understanding Ourselves in the Age of AI
De som köpt den här boken har ofta också köpt Calculus av Robert A Adams (inbunden).
Köp båda 2 för 1194 krThe 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 Fry fascinating debut book -- Andrew Robinson * Nature * for anyone and everyone who is interested in what makes humans different from machines by one of the worlds 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 Internets According to Professor Neil Lawrence, all of us suffer from locked-in syndrome I have been gripped by this insight. Lawrences 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 worlds 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 Staff This 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 Monsters The 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. Snows 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 Institute An 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 Ministers Special Adviser on Business and Investment The Atomic Human is a brilliantly panoramic celebration of the vast expanses of human cognition, as well as the ingenious, flawed, and often bizarre attempts to replicate it artificially. Refusing easy answers, Neil Lawrence cuts a huge swath across the history of computation with passion, erudition, skepticism, and hope. Cognition, he shows us repeatedly, is not an abstract formula, but an impossibly eclectic phenomenon that manifests differently in myriad contexts. From amoebae to the brain to information theory, from Isaac Newton to Alan Turing to ChatGPT, Lawrence shows that our approximations of the mind leave out as much as they leave in. Lawrence reminds us of the plumbed and unplumbed depths of what is really at stake and the unexpected consequences that will accompany the increased integration of society and technology, the uncontrolled behemoth he calls System Zero. What he demonstrates is more relevant and m
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.