Machines We Trust PDF Download

Author: Marcello Pelillo
Publisher: MIT Press
ISBN: 0262542099
Category : Computers
Languages : en
Pages : 175

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Book Description
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: Marcello Pelillo
Publisher: MIT Press
ISBN: 0262362163
Category : Computers
Languages : en
Pages : 175

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Book Description
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: Helga Nowotny
Publisher: John Wiley & Sons
ISBN: 1509548823
Category : Science
Languages : en
Pages : 125

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Book Description
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: Gary Marcus
Publisher: Vintage
ISBN: 1524748269
Category : Computers
Languages : en
Pages : 288

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Book Description
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: Ronald J. Brachman
Publisher: MIT Press
ISBN: 0262547325
Category : Computers
Languages : en
Pages : 319

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Book Description
How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.

Author: Rama Chellappa
Publisher: JHU Press
ISBN: 142144531X
Category : Computers
Languages : en
Pages : 224

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Book Description
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: Adriano Fabris
Publisher: Springer Nature
ISBN: 3030440184
Category : Philosophy
Languages : en
Pages : 199

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Book Description
This book presents cutting-edge concepts on the question of trust. Written by leading experts, it investigates a paradoxical feature of contemporary society: while information and communication technologies, on the one hand, and scientific discourses, on the other, can promote more informed participation in public and democratic life, they have also led to a dramatic decline in our communicative and cooperative skills. The book analyzes the notion of trust from an interdisciplinary perspective by combining the normative (continental) and empirical (Anglo-American) approaches and by considering the political, epistemological, and historical transformations in the interpersonal relationships sparked by new technologies. Using trust as a model, it then investigates and clarifies the new types of participation that are made possible by scientific and technological advances.

Author: Rachel Botsman
Publisher: PublicAffairs
ISBN: 1541773683
Category : Technology & Engineering
Languages : en
Pages : 377

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Book Description
If you can't trust those in charge, who can you trust? From government to business, banks to media, trust in institutions is at an all-time low. But this isn't the age of distrust -- far from it. In this revolutionary book, world-renowned trust expert Rachel Botsman reveals that we are at the tipping point of one of the biggest social transformations in human history -- with fundamental consequences for everyone. A new world order is emerging: we might have lost faith in institutions and leaders, but millions of people rent their homes to total strangers, exchange digital currencies, or find themselves trusting a bot. This is the age of "distributed trust," a paradigm shift driven by innovative technologies that are rewriting the rules of an all-too-human relationship. If we are to benefit from this radical shift, we must understand the mechanics of how trust is built, managed, lost, and repaired in the digital age. In the first book to explain this new world, Botsman provides a detailed map of this uncharted landscape -- and explores what's next for humanity.

Author: RJ Andrews
Publisher: John Wiley & Sons
ISBN: 1119483905
Category : Computers
Languages : en
Pages : 361

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Book Description
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: Glenna Vance
Publisher: John Wiley & Sons
ISBN: 1118069277
Category : Cooking
Languages : en
Pages : 278

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Book Description
There’s nothing like the smell and taste of fresh homemade bread. But who has the time to make it anymore? You do—with a little help from your automatic bread machine. All bread machines can make good bread; they just need a little help from you to turn out a good loaf. With a little practice and a lot of fun, you too can make freshly baked bread in your kitchen with the touch of a button. Bread Machines For Dummies is for anyone who has ever been frustrated by a bread machine and wants to know if it’s really possible to turn out great bread with a minimum of time and effort (it is!). This fun and easy guide shares simple techniques and more than 85 tested, foolproof recipes for making aromatic and flavorful breads—either for your bread machine or from dough that you shape yourself and bake in the oven. You’ll see how to make: Soft white bread Cracked wheat bread Basic danish dough Babka and C hallah Bread bowls Bread sticks, pizza, and focaccia And so much more! This handy resource guide provides everything you “knead” to know about making bread, including the best ingredients to use, how to work with dough, and how to get the best results out of your machine. Along with plenty of cooking, measuring, and shopping tips, you get expert advice on how to: Shape simple doughs into beautiful breads Mix flours and liquids for perfect bread texture Adapt machine recipes for two loaf sizes Understand the different wheat flours Fit bread into a gluten-free diet Avoid moisture mistakes Make breads with alternative ingredients such as rice flour, potato starch, and tapioca flour Featuring a cheat sheet with standard measuring equivalents and temperature conversions, tips for troubleshooting your machine, and delicious recipes for such tasty delights as Cheddar Cheese Corn Bread, Pecan Sticky Rolls, Cranberry Nut Bread, and Banana Lemon Loaf, Bread Machines For Dummies reveals the best ways to bake, store, and enjoy your bread!