In Ai We Trust

Author : Helga Nowotny
Publisher : John Wiley & Sons
ISBN 13 : 1509548823
Total Pages : 125 pages
Book Rating : 4.28/5 ( download)

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Download or read book In AI We Trust written by Helga Nowotny and published by John Wiley & Sons. This book was released on 2021-08-19 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most persistent concerns about the future is whether it will be dominated by the predictive algorithms of AI – and, if so, what this will mean for our behaviour, for our institutions and for what it means to be human. AI changes our experience of time and the future and challenges our identities, yet we are blinded by its efficiency and fail to understand how it affects us. At the heart of our trust in AI lies a paradox: we leverage AI to increase our control over the future and uncertainty, while at the same time the performativity of AI, the power it has to make us act in the ways it predicts, reduces our agency over the future. This happens when we forget that that we humans have created the digital technologies to which we attribute agency. These developments also challenge the narrative of progress, which played such a central role in modernity and is based on the hubris of total control. We are now moving into an era where this control is limited as AI monitors our actions, posing the threat of surveillance, but also offering the opportunity to reappropriate control and transform it into care. As we try to adjust to a world in which algorithms, robots and avatars play an ever-increasing role, we need to understand better the limitations of AI and how their predictions affect our agency, while at the same time having the courage to embrace the uncertainty of the future.

Author : Marcello Pelillo
Publisher : MIT Press
ISBN 13 : 0262542099
Total Pages : 175 pages
Book Rating : 4.98/5 ( download)

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Download or read book Machines We Trust written by Marcello Pelillo and published by MIT Press. This book was released on 2021-08-24 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.

Author : Gary Marcus
Publisher : Vintage
ISBN 13 : 1524748269
Total Pages : 288 pages
Book Rating : 4.65/5 ( download)

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Download or read book Rebooting AI written by Gary Marcus and published by Vintage. This book was released on 2019-09-10 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Author : Beena Ammanath
Publisher : John Wiley & Sons
ISBN 13 : 1119867959
Total Pages : 230 pages
Book Rating : 4.51/5 ( download)

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Download or read book Trustworthy AI written by Beena Ammanath and published by John Wiley & Sons. This book was released on 2022-03-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

Author : Rama Chellappa
Publisher : JHU Press
ISBN 13 : 142144531X
Total Pages : 224 pages
Book Rating : 4.11/5 ( download)

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Download or read book Can We Trust AI? written by Rama Chellappa and published by JHU Press. This book was released on 2022-11-15 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is part of our daily lives. How can we address its limitations and guide its use for the benefit of communities worldwide? Artificial intelligence (AI) has evolved from an experimental computer algorithm used by academic researchers to a commercially reliable method of sifting through large sets of data that detect patterns not readily apparent through more rudimentary search tools. As a result, AI-based programs are helping doctors make more informed decisions about patient care, city planners align roads and highways to reduce traffic congestion with better efficiency, and merchants scan financial transactions to quickly flag suspicious purchases. But as AI applications grow, concerns have increased, too, including worries about applications that amplify existing biases in business practices and about the safety of self-driving vehicles. In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect from it, and how it can be harnessed to make our lives not only safer and more convenient but also more equitable. Can We Trust AI? is essential reading for anyone who wants to understand the potential—and pitfalls—of artificial intelligence. The book features: • an exploration of AI's origins during the post–World War II era through the computer revolution of the 1960s and 1970s, and its explosion among technology firms since 2012; • highlights of innovative ways that AI can diagnose medical conditions more quickly and accurately; • explanations of how the combination of AI and robotics is changing how we drive; and • interviews with leading AI researchers who are pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just. Johns Hopkins Wavelengths In classrooms, field stations, and laboratories in Baltimore and around the world, the Bloomberg Distinguished Professors of Johns Hopkins University are opening the boundaries of our understanding of many of the world's most complex challenges. The Johns Hopkins Wavelengths book series brings readers inside their stories, illustrating how their pioneering discoveries and innovations benefit people in their neighborhoods and across the globe in artificial intelligence, cancer research, food systems' environmental impacts, health equity, planetary science, science diplomacy, and other critical arenas of study. Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms.

Author : Christoph Bartneck
Publisher : Springer Nature
ISBN 13 : 3030511103
Total Pages : 124 pages
Book Rating : 4.04/5 ( download)

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Download or read book An Introduction to Ethics in Robotics and AI written by Christoph Bartneck and published by Springer Nature. This book was released on 2020-08-11 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.

Author : RJ Andrews
Publisher : John Wiley & Sons
ISBN 13 : 1119483905
Total Pages : 361 pages
Book Rating : 4.08/5 ( download)

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Download or read book Info We Trust written by RJ Andrews and published by John Wiley & Sons. This book was released on 2019-01-03 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation — what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things “in formation” to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.

Author : David Wessel
Publisher : Crown Currency
ISBN 13 : 0307459691
Total Pages : 354 pages
Book Rating : 4.95/5 ( download)

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Download or read book In FED We Trust written by David Wessel and published by Crown Currency. This book was released on 2010-08-03 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Whatever it takes” That was Federal Reserve Chairman Ben Bernanke’s vow as the worst financial panic in more than fifty years gripped the world and he struggled to avoid the once unthinkable: a repeat of the Great Depression. Brilliant but temperamentally cautious, Bernanke researched and wrote about the causes of the Depression during his career as an academic. Then when thrust into a role as one of the most important people in the world, he was compelled to boldness by circumstances he never anticipated. The president of the United States can respond instantly to a missile attack with America’s military might, but he cannot respond to a financial crisis with real money unless Congress acts. The Fed chairman can. Bernanke did. Under his leadership the Fed spearheaded the biggest government intervention in more than half a century and effectively became the fourth branch of government, with no direct accountability to the nation’s voters. Believing that the economic catastrophe of the 1930s was largely the fault of a sluggish and wrongheaded Federal Reserve, Bernanke was determined not to repeat that epic mistake. In this penetrating look inside the most powerful economic institution in the world, David Wessel illuminates its opaque and undemocratic inner workings, while revealing how the Bernanke Fed led the desperate effort to prevent the world’s financial engine from grinding to a halt. In piecing together the fullest, most authoritative, and alarming picture yet of this decisive moment in our nation’s history, In Fed We Trust answers the most critical questions. Among them: • What did Bernanke and his team at the Fed know–and what took them by surprise? Which of their actions stretched–or even ripped through–the Fed’s legal authority? Which chilling numbers and indicators made them feel they had no choice? • What were they thinking at pivotal moments during the race to sell Bear Stearns, the unsuccessful quest to save Lehman Brothers, and the virtual nationalization of AIG, Fannie Mae, and Freddie Mac? What were they saying to one another when, as Bernanke put it to Wessel: “We came very close to Depression 2.0”? • How well did Bernanke, former treasury secretary Hank Paulson, and then New York Fed president Tim Geithner perform under intense pressure? • How did the crisis prompt a reappraisal of the once-impregnable reputation of Alan Greenspan? In Fed We Trust is a breathtaking and singularly perceptive look at a historic episode in American and global economic history.

Author : Ben Eubanks
Publisher : Kogan Page Publishers
ISBN 13 : 1398604011
Total Pages : 273 pages
Book Rating : 4.18/5 ( download)

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Download or read book Artificial Intelligence for HR written by Ben Eubanks and published by Kogan Page Publishers. This book was released on 2022-01-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.

Author : Kai-Fu Lee
Publisher : Crown Currency
ISBN 13 : 0593238311
Total Pages : 497 pages
Book Rating : 4.18/5 ( download)

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Download or read book AI 2041 written by Kai-Fu Lee and published by Crown Currency. This book was released on 2024-03-05 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.