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A list of a few of the books available in print with information about Artificial Intelligence (AI). Books may be borrowed from the McEntegart Library with a SJNY - Brooklyn id card.
The Age of AI by
The Age of AI is upon us. Three leading thinkers have come together to consider what it means-and they have concluded that it is changing nearly everything about how humans navigate the world. From The Age of AI: Recently, a sophisticated language-generating AI was asked philosophical questions. It replied, in part: Your first question is an important one. You ask: "Can a system like GPT-3 actually understand anything at all?" Yes. I can Your second question is: "Does GPT-3 have a conscience, or any sense of morality?" No. I do not. Your third questions is: "Is GPT-3 actually capable of independent thought?" No. I am not. You many wonder why I give this conflicting answer. The reason is simple. While it is true that I lack these traits, the are not because I have not been trained to have them. Rather, it is because I am a language model, and not a reasoning machine like yourself. Book jacket.
Competing in the Age of AI by
"a provocative new book" -- The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples--including many from the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
CyberStrong by
Cyber risk is one of the biggest challenges businesses face in the 21st Century. The increasing dependence and use of technology to run businesses combined with the spate of cyber-attacks and risk to reputational damage in recent times has made cybersecurity a top priority for corporates as well as big and small businesses Limited knowledge of cybersecurity among business leaders and managers is a major barrier for effective cyber risk management. This book empowers business managers to assess cyber threats, integrate cybersecurity strategy with business goals, and build appropriate response systems to deal with cyber risks.
The Internet Is Not What You Think It Is by
An original deep history of the internet that tells the story of the centuries-old utopian dreams behind it--and explains why they have died today Many think of the internet as an unprecedented and overwhelmingly positive achievement of modern human technology. But is it? In The Internet Is Not What You Think It Is, Justin Smith offers an original deep history of the internet, from the ancient to the modern world--uncovering its surprising origins in nature and centuries-old dreams of radically improving human life by outsourcing thinking to machines and communicating across vast distances. Yet, despite the internet's continuing potential, Smith argues, the utopian hopes behind it have finally died today, killed by the harsh realities of social media, the global information economy, and the attention-destroying nature of networked technology. Ranging over centuries of the history and philosophy of science and technology, Smith shows how the "internet" has been with us much longer than we usually think. He draws fascinating connections between internet user experience, artificial intelligence, the invention of the printing press, communication between trees, and the origins of computing in the machine-driven looms of the silk industry. At the same time, he reveals how the internet's organic structure and development root it in the natural world in unexpected ways that challenge efforts to draw an easy line between technology and nature. Combining the sweep of intellectual history with the incisiveness of philosophy, The Internet Is Not What You Think It Is cuts through our daily digital lives to give a clear-sighted picture of what the internet is, where it came from, and where it might be taking us in the coming decades.
The Promise of Artificial Intelligence by
An argument that-despite dramatic advances in the field-artificial intelligence is nowhere near developing systems that are genuinely intelligent.In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI- none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability "reckoning," and argues that it does not lead to full human judgment-dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins ("good old-fashioned AI," or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself-what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.
Rule of the Robots by
If you have a smartphone, you have AI in your pocket. It's everywhere online. And it has already changed how doctors diagnose disease as well as how you interact with friends or read the news. But In Rule of the Robots, Silicon Valley tech entrepreneur Martin Ford argues that true disruption is yet to come, as AI ceases to be a tool applied to specific problems, and becomes a utility: the industrial foundation upon which practically all activity-personal, economic, and political-is based.
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The following resources are electronic books, which are available online to SJNY - Long Island students, faculty, and staff. Click on the title of the book to be taken to the online version of the book. You may have to sign into your SJNY account to be able to access the book.
Artificial Intelligence for Digitising Industry - Applications by
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book's sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.
Artificial Intelligence in the Capitalist University by
Using Marxist critique, this book explores manifestations of Artificial Intelligence (AI) in Higher Education and demonstrates how it contributes to the functioning and existence of the capitalist university. Challenging the idea that AI is a break from previous capitalist technologies, the book offers nuanced examination of the impacts of AI on the control and regulation of academic work and labour, on digital learning and remote teaching, and on the value of learning and knowledge. Applying a Marxist perspective, Preston argues that commodity fetishism, surveillance, and increasing productivity ushered in by the growth of AI, further alienates and exploits academic labour and commodifies learning and research. The text puts forward a solid theoretical framework and methodology for thinking about AI to inform critical and revolutionary pedagogies. Offering an impactful and timely analysis, this book provides a critical engagement and application of key Marxist concepts in the study of AI's role in Higher Education. It will be of interest to those working or researching in Higher Education.
The Democratization of Artificial Intelligence by
The recent explosion in interest in both the democratization of data and artificial intelligence (AI) brings important questions to the fore: How democratic is AI? How to explore the political aspects of modern machine learning if many computer scientists consider AI technologies a black box fundamentally opaque to human understanding? And how does this affect questions of accountability and political agency? This timely collection discusses the complex political dimensions of internet and AI technologies, seeking to elucidate possible avenues of democratizing AI. This includes technological strategies such as an 'Explainable AI', but also the questions of political and/or critical concepts which guide the technological process of making modern AI technology more accessible as well as suitable ways of democratizing AI beyond a purely abstract understanding of transparency and accountability.
HBR Guide to AI Basics for Managers by
AI is ready for business. Are you ready for AI? From financial modeling and product design to performance management and hiring decisions, AI and machine learning are becoming everyday tools for managers at businesses of all sizes. But AI systems come with benefits and downsides--and if you can't make sense of them, you're not going to make the right decisions. Whether you need to get up to speed quickly or need a refresher, or you're working with an AI expert for the first time, the HBR Guide to AI Basics for Managers will give you the information and skills you need to succeed. You'll learn how to: Understand key AI terms and concepts Recognize which of your projects would benefit from AI Work more effectively with your data team Hire the right AI vendors and consultants Deal with ethical risks before they arise Scale AI across your organization Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.
Robotics & Artificial Intelligence by
his book explores automatons, computing, mechanical engineering, automation in the Industrial Revolution, digital technology, the search for artificial intelligence, and technological singularity--a hypothetical future point when technological growth becomes uncontrollable and irreversible, resulting in unfathomable changes to human civilization.
Robots and AI by
Robots and artificial intelligence (AI) are powerful forces that will likely have large impacts on the size, direction, and composition of international trade flows. This book discusses how industrial robots, automation, and AI affect international growth, trade, productivity, employment, wages, and welfare. The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises. This book will be a useful reference for those researching on robots, automation, AI and their economic impacts on trade, industry, and employment. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Tech Giants Artificial Intelligence and the Future of Journalism by
This book examines the impact of the "Big Five" technology companies - Apple, Alphabet/Google, Amazon, Facebook and Microsoft - on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing influence on the production of the news. Exploring the changes that the technology industry and automation have made in the past decade to the production, distribution and consumption of news globally, the book considers what happens to journalism once it is produced and enters the media ecosystems of the internet tech giants - and the impact of social media and AI on such things as fake news in the post-truth age. The audience for this book are students and researchers working in the field of digital media, and journalism studies or media studies more generally. It will also be useful to those who are looking for extended case studies of the role taken by tech giants such as Facebook and Google in the fake news scandal, or the role of Jeff Bezos in transforming The Washington Post. The Open Access version of this book, available at https://doi.org/10.4324/9781351013758, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. h as Facebook and Google in the fake news scandal, or the role of Jeff Bezos in transforming The Washington Post. The Open Access version of this book, available at https://doi.org/10.4324/9781351013758, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
The following resources are electronic books, which are available online to SJNY - Brooklyn students, faculty, and staff. Click on the title of the book to be taken to the online version of the book. You may have to sign in to your SJNY account to be able to access the book.
Artificial Intelligence for Digitising Industry - Applications by
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book's sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.
Artificial Intelligence in the Capitalist University by
Using Marxist critique, this book explores manifestations of Artificial Intelligence (AI) in Higher Education and demonstrates how it contributes to the functioning and existence of the capitalist university. Challenging the idea that AI is a break from previous capitalist technologies, the book offers nuanced examination of the impacts of AI on the control and regulation of academic work and labour, on digital learning and remote teaching, and on the value of learning and knowledge. Applying a Marxist perspective, Preston argues that commodity fetishism, surveillance, and increasing productivity ushered in by the growth of AI, further alienates and exploits academic labour and commodifies learning and research. The text puts forward a solid theoretical framework and methodology for thinking about AI to inform critical and revolutionary pedagogies. Offering an impactful and timely analysis, this book provides a critical engagement and application of key Marxist concepts in the study of AI's role in Higher Education. It will be of interest to those working or researching in Higher Education.
Robots and AI by
Robots and artificial intelligence (AI) are powerful forces that will likely have large impacts on the size, direction, and composition of international trade flows. This book discusses how industrial robots, automation, and AI affect international growth, trade, productivity, employment, wages, and welfare. The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises. This book will be a useful reference for those researching on robots, automation, AI and their economic impacts on trade, industry, and employment. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
A list of a few of the books available in print with information about Artificial Intelligence (AI). Books may be borrowed from the Callahan Library with a SJNY - Long Island id card.
The Age of AI by
The Age of AI is upon us. Three leading thinkers have come together to consider what it means-and they have concluded that it is changing nearly everything about how humans navigate the world. From The Age of AI: Recently, a sophisticated language-generating AI was asked philosophical questions. It replied, in part: Your first question is an important one. You ask: "Can a system like GPT-3 actually understand anything at all?" Yes. I can Your second question is: "Does GPT-3 have a conscience, or any sense of morality?" No. I do not. Your third questions is: "Is GPT-3 actually capable of independent thought?" No. I am not. You many wonder why I give this conflicting answer. The reason is simple. While it is true that I lack these traits, the are not because I have not been trained to have them. Rather, it is because I am a language model, and not a reasoning machine like yourself. Book jacket.
Designing Machine Learning Systems by
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
I, Human by
It's no secret that AI is changing the way we live, work, love, and entertain ourselves. Dating apps are using AI to pick our potential partners. Retailers are using AI to predict our behavior and desires. Rogue actors are using AI to persuade us with Twitter bots and fake news. Companies are using AI to hire us-or not. This is just the beginning. As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready? In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us. To do so, we'll need to double down on what makes us so special-our curiosity, adaptability, and emotional intelligence-while relying on the lost virtues of empathy, humility, and self-control. Filled with big-think fascinations and practical wisdom, I, Human is the book we need to thrive in the future.
New Developments in Artificial Intelligence by 
Runaway Technology
In an era of corporate surveillance, artificial intelligence, deep fakes, genetic modification, automation, and more, law often seems to take a back seat to rampant technological change. To listen to Silicon Valley barons, there's nothing any of us can do about it. In this riveting work, Joshua A. T. Fairfield calls their bluff. He provides a fresh look at law, at what it actually is, how it works, and how we can create the kind of laws that help humans thrive in the face of technological change. He shows that law can keep up with technology because law is a kind of technology - a social technology built by humans out of cooperative fictions like firms, nations, and money. However, to secure the benefits of changing technology for all of us, we need a new kind of law, one that reflects our evolving understanding of how humans use language to cooperate.
The Shortcut by
One of the most influential scientists in the field of artificial intelligence explains its fundamental concepts and how it is changing culture and society. A particular form of AI is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible yet probing exposure of AI in its prevalent form today, proposing a new narrative to connect and make sense of events that happened in the recent tumultuous past, and enabling us to think soberly about the road ahead. The book is divided into ten carefully crafted and easily digestible chapters. Each chapter grapples with an important question for AI. Ranging from the scientific concepts that underpin the technology to wider implications for society, it develops a unified description using tools from different disciplines and avoiding unnecessary abstractions or words that end with -ism. The book uses real examples wherever possible, introducing the reader to the people who have created some of these technologies and to ideas shaping modern society that originate from the technical side of AI. It contains important practical advice about how we should approach AI in future without promoting exaggerated hypes or fears. Entertaining, disturbing, but always thoughtful, The Shortcut confronts the hidden logic of AI while preserving a space for human dignity. Essential reading for anyone with an interest in AI, the history of technology, and that of ideas. General readers will come away much more informed about how AI really works today, and what we should do next.
