20 Best Books About Artificial Intelligence (2023 Update)

A leading artificial intelligence researcher lays out a new approach to ai that will enable us to coexist successfully with increasingly intelligent machinesin the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. russell begins by exploring the idea of intelligence in humans and in machines. such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. this new foundation would allow us to create machines that are provably deferential and provably beneficial.

'if ai is outside your field, or you know something of the subject and would like to know more then artificial intelligence: the basics is a brilliant primer.' – nick smith, engineering and technology magazine november 2011 artificial intelligence: the basics is a concise and cutting-edge introduction to the fast moving world of ai. the author kevin warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. topics covered include:how intelligence can be defined whether machines can 'think' sensory input in machine systemsthe nature of consciousness the controversial culturing of human neurons.exploring issues at the heart of the subject, this book is suitable for anyone interested in ai, and provides an illuminating and accessible introduction to this fascinating subject.

Artificial intelligence touches nearly every part of your day. while you may initially assume that technology such as smart speakers and digital assistants are the extent of it, ai has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. in our modern era, an understanding of ai and its possibilities for your organization is essential for growth and success. – artificial intelligence basics has arrived to equip you with a fundamental, timely grasp of ai and its impact. author tom taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (nlp), robotics, and more. in addition to guiding you through real-world case studies and practical implementation steps, taulli uses his expertise to expand on the bigger questions that surround ai. these include societal trends, ethics, and future impact ai will have on world governments, company structures, and daily life. google, amazon, facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. ai is the present and the future of your business as well as your home life. strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and artificial intelligence basics is the indispensable guide that you’ve been seeking. what you will learn – study the core principles for ai approaches such as machine learning, deep learning, and nlp (natural language processing)discover the best practices to successfully implement ai by examining case studies including uber, facebook, waymo, ui – path, and stitch fix – understand how ai capabilities for robots can improve business – avoid costly gotchas – recognize ethical concerns and other risk factors of using artificial intelligence – examine the secular trends and how they may impact your business who this book is for readers without a technical background, such as managers, looking to understand ai to evaluate solutions.

The human brain has some capabilities that the brains of other animals lack. it is to these distinctive capabilities that our species owes its dominant position. if machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful.

Artificial intelligence (ai) is a field within computer science that is attempting to build enhanced intelligence into computer systems. this book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's ai engineers. ai is becoming more and more a part of everyone's life. the technology is already embedded in face-recognizing cameras, speech-recognition software, internet search engines, and health-care robots, among other applications. the book's many diagrams and easy-to-understand descriptions of ai programs will help the casual reader gain an understanding of how these and other ai systems actually work. its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to ai scholars and researchers. this book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.

The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence the long-anticipated revision of artificial intelligence: a modern approach explores the full breadth and depth of the field of artificial intelligence (ai). the 4th edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe ai.

The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence the long-anticipated revision of artificial intelligence: a modern approach explores the full breadth and depth of the field of artificial intelligence (ai). the 4th edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe ai.

Academic edition – updated january 2022 ① do you know what ai is doing to improve our health and wellbeing? ② does this new technology concern you, or impress you? ③ do you want to know more about the future of ai in healthcare? technology continues to advance at a pace that can seem bewildering. nowhere else is it moving faster than in the health sector, where ♥ai is now being used to improve millions of lives♥. in this book, ◆ artificial intelligence in healthcare: ai, machine learning, and deep and intelligent medicine simplified for everyone ◆, you can discover the great improvements that ai is making, with chapters covering: ✓ the current applications and future of ai in healthcare and all major medical specialties✓ the benefits and risks weighed up✓ the ethics involved✓ machine learning and data science simplified✓ ai's role in medical research and education, health insurance, drug discovery, electronic health records, and the fight against covid-19✓ the roles that major corporations and start-up companies are playing✓ the implementation of ai in clinical practice✓ and lots more… quite simply the most authoritative text on the subject, artificial intelligence in healthcare – 3rd edition, is an absorbing and compelling read for anyone who wants to know more. it is packed with more updated information than any other book currently available, written in easy-to-understand language, and accessible to all. *note: a concise general edition – updated january 2022 of this book is also available now!

Explore the ever-expanding, fascinating field of artificial intelligence and its latest technologies with this industry-leading text. artificial intelligence: a modern approach, global edition, 4th edition by stuart russel and peter norvigis the long-anticipated revision of this market-leading text, exploring the full breadth and depth of the field of artificial intelligence (ai). from robotic planetary explorers to online services with billions of users, the textbook covers a wide range of applications, delving into the advanced methods of reasoning, deep learning, perception and mathematics. thoroughly updated and with new content, this latest edition brings you up to date on the latest technological advancements in the field, presenting concepts in a more unified manner. some of the changes in the content include: content that focuses deeper on machine learning rather than the hand-crafted knowledge of engineering. an updated, thorough discussion emphasises deep learning, probabilistic programming, and multi-agent systems. extensive updates on the robotics chapter now include content regarding the interaction of robots with humans. a new online site now includes all the exercises for this edition, allowing the team of authors to update and improve them continuously. besides studying the methods and technologies, this edition also considers the ethical aspects and values of practicing the discipline. fairness, integrity, respect, and social good, provide a fundamental framework to the learning process in this edition, studying the impact of ai on society. with a plethora of topics, exercises, and practical applications, this leading text is the must-read edition of this field, offering a deeper understanding and a multi-faceted approach to this expanding subject.

"machines who think—how utterly preposterous," huff beleaguered humanists, defending their dwindling turf. "artificial intelligence—it's here and about to surpass our own," crow techno-visionaries, proclaiming dominion. it's so simple and obvious, each side maintains, only a fanatic could disagree.deciding where the truth lies between these two extremes is the main purpose of john haugeland's marvelously lucid and witty book on what artificial intelligence is all about. although presented entirely in non-technical terms, it neither oversimplifies the science nor evades the fundamental philosophical issues. far from ducking the really hard questions, it takes them on, one by one.artificial intelligence, haugeland notes, is based on a very good idea, which might well be right, and just as well might not. that idea, the idea that human thinking and machine computing are "radically the same," provides the central theme for his illuminating and provocative book about this exciting new field. after a brief but revealing digression in intellectual history, haugeland systematically tackles such basic questions as: what is a computer really? how can a physical object "mean" anything? what are the options for computational organization? and what structures have been proposed and tried as actual scientific models for intelligence? in a concluding chapter he takes up several outstanding problems and puzzles—including intelligence in action, imagery, feelings and personality—and their enigmatic prospects for solution.

"machines who think—how utterly preposterous," huff beleaguered humanists, defending their dwindling turf. "artificial intelligence—it's here and about to surpass our own," crow techno-visionaries, proclaiming dominion. it's so simple and obvious, each side maintains, only a fanatic could disagree.deciding where the truth lies between these two extremes is the main purpose of john haugeland's marvelously lucid and witty book on what artificial intelligence is all about. although presented entirely in non-technical terms, it neither oversimplifies the science nor evades the fundamental philosophical issues. far from ducking the really hard questions, it takes them on, one by one.artificial intelligence, haugeland notes, is based on a very good idea, which might well be right, and just as well might not. that idea, the idea that human thinking and machine computing are "radically the same," provides the central theme for his illuminating and provocative book about this exciting new field. after a brief but revealing digression in intellectual history, haugeland systematically tackles such basic questions as: what is a computer really? how can a physical object "mean" anything? what are the options for computational organization? and what structures have been proposed and tried as actual scientific models for intelligence? in a concluding chapter he takes up several outstanding problems and puzzles—including intelligence in action, imagery, feelings and personality—and their enigmatic prospects for solution.

Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage.in the ai advantage, thomas davenport offers a guide to using artificial intelligence in business. he describes what technologies are available and how companies can use them for business benefits and competitive advantage. he cuts through the hype of the ai craze—remember when it seemed plausible that ibm's watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. his key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient.davenport explains that the business value ai offers is solid rather than sexy or splashy. ai will improve products and processes and make decisions better informed—important but largely invisible tasks. ai technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. companies should experiment with these technologies and develop their own expertise.davenport describes the major ai technologies and explains how they are being used, reports on the ai work done by large commercial enterprises like amazon and google, and outlines strategies and steps to becoming a cognitive corporation. this book provides an invaluable guide to the real-world future of business ai.a book in the management on the cutting edge series, published in cooperation with mit sloan management review.

Advances in artificial intelligence (ai) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. this volume seeks to set the agenda for economic research on the impact of ai. it covers four broad themes: ai as a general purpose technology; the relationships between ai, growth, jobs, and inequality; regulatory responses to changes brought on by ai; and the effects of ai on the way economic research is conducted. it explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around ai, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. the volume provides frameworks for understanding the economic impact of ai and identifies a number of open research questions. contributors: daron acemoglu, massachusetts institute of technology philippe aghion, collège de france ajay agrawal, university of toronto susan athey, stanford university james bessen, boston university school of law erik brynjolfsson, mit sloan school of management colin f. camerer, california institute of technology judith chevalier, yale school of management iain m. cockburn, boston university tyler cowen, george mason university jason furman, harvard kennedy school patrick francois, university of british columbia alberto galasso, university of toronto joshua gans, university of toronto avi goldfarb, university of toronto austan goolsbee, university of chicago booth school of business rebecca henderson, harvard business school ginger zhe jin, university of maryland benjamin f. jones, northwestern university charles i. jones, stanford university daniel kahneman, princeton university anton korinek, johns hopkins university mara lederman, university of toronto hong luo, harvard business school john mchale, national university of ireland paul r. milgrom, stanford university matthew mitchell, university of toronto alexander oettl, georgia institute of technology andrea prat, columbia business school manav raj, new york university pascual restrepo, boston university daniel rock, mit sloan school of management jeffrey d. sachs, columbia university robert seamans, new york university scott stern, mit sloan school of management betsey stevenson, university of michigan joseph e. stiglitz. columbia university chad syverson, university of chicago booth school of business matt taddy, university of chicago booth school of business steven tadelis, university of california, berkeley manuel trajtenberg, tel aviv university daniel trefler, university of toronto catherine tucker, mit sloan school of management hal varian, university of california, berkeley

The hidden costs of artificial intelligence–from natural resources and labor to privacy, equality, and freedom "this study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . a fascinating history of the data on which machine-learning systems are trained."–new yorker "a valuable corrective to much of the hype surrounding ai and a useful instruction manual for the future."–john thornhill, financial times "it's a masterpiece, and i haven't been able to stop thinking about it."–karen hao, senior editor, mit tech review what happens when artificial intelligence saturates political life and depletes the planet? how is ai shaping our understanding of ourselves and our societies? drawing on more than a decade of research, award-winning scholar kate crawford reveals how ai is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. this book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. rather than taking a narrow focus on code and algorithms, crawford offers us a material and political perspective on what it takes to make ai and how it centralizes power. this is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

”this book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.” – david jacobs, product advance local key features master the core algorithms of deep learning and ai build an intuitive understanding of ai problems and solutions written in simple language, with lots of illustrations and hands-on examples creative coding exercises, including building a maze puzzle game and exploring drone optimizationabout the book “artificial intelligence” requires teaching a computer how to approach different types of problems in a systematic way. the core of ai is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. mastering the core algorithms for search, image recognition, and other common tasks is essential to building good ai applications grokking artificial intelligence algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental ai concepts.you’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. all you need is the algebra you remember from high school math class and beginning programming skills. what you will learn use cases for different ai algorithms intelligent search for decision making biologically inspired algorithms machine learning and neural networks reinforcement learning to build a better robot this book is written for for software developers with high school–level math skills. about the author rishal hurbans is a technologist, startup and ai group founder, and international speaker. table of contents 1 intuition of artificial intelligence 2 search fundamentals 3 intelligent search 4 evolutionary algorithms 5 advanced evolutionary approaches 6 swarm intelligence: ants 7 swarm intelligence: particles 8 machine learning 9 artificial neural networks 10 reinforcement learning with q-learning

This timely book provides an extensive overview and analysis of the law and regulation as it applies to the technology and uses of artificial intelligence (ai). it examines the human and ethical concerns associated with the technology, the history of ai and ai in commercial contexts.written by outstanding lawyers, technologists and other professionals, this book will help readers acquire an understanding of the taxonomy of ai, the legal rules that apply to ai and the way ai has been utilised in various commercial contexts.key features include: explanation of the technology and practical legal issues relating to the use of aiexploration of ai in the traditional legal categories; including contract and tort lawchapters written by procurement, legaltech, algorithm auditing and other professionalsuse cases from the main industries utilising the technology, such as financial services, real estate and insurance.artificial intelligence will help to further readers' engagement with ai and enable them to ask themselves the right questions while doing so. it will prove a crucial reference point for all lawyers, policy makers and academics with an interest in the interaction between law and ai, and to any lawyer with clients that use or consider using ai in their business.

"the internet is usually considered a breakthrough in technological–and even social–progress. the promises that it holds for our future are discussed in terms of an utopian vision–intelligent, helpful robots, enhanced brain function, disease-and-famine ridding nanotechnology, and other positive benefits. but there's another, rarely discussed and far darker possibility.

Do you want to understand the benefits ai has in various industries across the globe? would you like to discover how ai is applied nowadays to improve our lives? have you ever wondered if ai will replace the human workforce and if it could replace you? you are about to find out and be amazed at how well companies have integrated ai in all their services in an attempt to make your life more comfortable. but artificial intelligence is responsible for so much more than just adding comfort to your everyday life. – in this guide you will discover: how ai is changing the world you live in (you'll be surprised in so many ways!) how world-renown companies like google, facebook, and ibm are leveraging ai in their businesses (you're using most of them without realizing) 7 amazing benefits ai will bring to your life soon (number 4 is a life-changer)how ai technology is applied to the health care industry, without losing its qualified professionals the key to understanding the vulnerabilities of ai and how to avoid using it in corrupt ways – practical ways ai is operating globally to help you improve your business and your life – why it's crucial to understand how ai works in our everyday life – social media, emails, maps and direction apps, smart devices – even if you're not a gadget lover1 essential truth you don't want to believe, but should, to calm your fear that ai will take over human intelligence. … and much, much more! this book is a practical guide for all who want to understand how ai is changing the world they live in today. – are you ready to discover how ai is benefiting your professional and personal life? make the first step towards an innovative future and click the "add to cart" button now!

Robby and his friends are taking you on a journey like no other. a journey to explore the world of artificial intelligence & the 5 big ideas! join them to learn about intelligent machines & unleash your inner genius.' artificial intelligence & me' introduces & explains the 5 big ideas (perception, representation and reasoning, learning, natural interaction, and societal impact) in artificial intelligence. can you learn ai without a computer? absolutely! with families spending more and more time on screens, this book offers a great opportunity to connect with your child on an exciting topic offline. plus, learning unplugged helps your child develop computational thinking skills that future jobs require.the book integrates stories with ai exercises so that your child will come to learn about advanced ai techniques through interesting examples. in a zoo story, to figure out which new animal the zoo is getting, your child will walk through the steps in a decision tree, a machine learning technique that powers many apps you use daily. about the special edition: the special edition combines five books (one on each idea) in a single book. the special edition makes it convenient to learn all 5 big ideas in one book along with extra activities, prompts & puzzles. so, while you get more value you also end up saving more! the series is also available as individual books.why should you introduce artificial intelligence to kids? learning ai opens up a world of opportunities. as the fastest growing area of computer science, ai will become the most important change force when our children grow up so it is critical they learn about it early. the field of ai started with scientists making computers learn to play games. ai is an incredibly fun way to introduce kids to programming and pique their interest in advanced topics like deep learning.lastly, a topic like ai naturally opens up discussions about our humanity.

Testimonials"one of the most important books of our times!" – bernard marr "an essential reading for anybody who cares about the future of work" – arianna huffington"this insightful and practical guidebook is instrumental for success in the fourth industrial revolution" – klaus schwab, founder of the world economic forum"an insightful exploration of intelligent automation" – dr. kai-fu lee, author of nyt bestseller "ai superpowers""this field guide is essential reading" – gartner"masterful insight, this book is more relevant than ever" – hfs"this book needed to be written" – forrester – about the bookthis is the first reference book on intelligent automation (ia). also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. ia is a cutting-edge combination of methods and technologies, involving people, organizations, machine learning, low-code platforms, robotic process automation (rpa), and more. – this book is for everyone – whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole. – key content of the book: what is intelligent automation (ia)? why has the use of ia been expanding so rapidly? how have leading organizations been able to harness the full potential of ia, at scale, and generate massive efficiency gains in the range of 20 to 60%? how can ia save 10+ million lives per year, triple our global budget for education, eliminate hunger, help protect our planet, or increase the resilience of society to pandemics and crises? what you will get from this book: get the lessons learned from 100+ ia transformation successes (and failures)benefit from the largest publicly available library of 500+ ia use cases by industry and by business function – gain access to insights garnered from 200+ ia industry experts – the profits from this book will be donated to charities that support education about new technologies for people in need. – about the authorspascal bornet is a recognized global expert, thought leader, and pioneer in the field of intelligent automation (ia). he founded and led the ia practices for mckinsey & company and ernst & young (ey), where he drove hundreds of ia transformations across industries. bornet is a member of the forbes technology council, and he was awarded global top voice in technology 2019.lan barkin is chief strategy & marketing officer at sykes. he is a globally recognized thought leader and veteran in the ia space. barkin co-founded symphony ventures, a pure-play ia consulting company providing cutting-edge services across all sectors. in 2018, the company was acquired for us$69 million by sykes, a nasdaq-listed global leader. – dr. jochen wirtz is vice-dean mba programmes at the national university of singapore business school, and professor of marketing. he is a well-known and highly acclaimed author with more than 20 books published, including "services marketing – people, technology, strategy". his research has been published in over 100 academic journal articles, and he received over 40 awards.