Machines We Trust
Machines We Trust

Author: Marcello Pelillo

Publisher: MIT Press

Published: 2021-08-24

Total Pages: 175

ISBN-13: 0262362163

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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.

Machines like Us
Machines like Us

Author: Ronald J. Brachman

Publisher: MIT Press

Published: 2022-05-17

Total Pages: 320

ISBN-13: 0262369222

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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.

In AI We Trust
In AI We Trust

Author: Helga Nowotny

Publisher: John Wiley & Sons

Published: 2021-08-19

Total Pages: 125

ISBN-13: 1509548823

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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.

Rebooting AI
Rebooting AI

Author: Gary Marcus

Publisher: Vintage

Published: 2019-09-10

Total Pages: 290

ISBN-13: 1524748269

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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 robust artificial intelligence that can make our lives better. “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking 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.

Trust
Trust

Author: Adriano Fabris

Publisher: Springer Nature

Published: 2020-04-06

Total Pages: 198

ISBN-13: 3030440184

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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.

Info We Trust
Info We Trust

Author: RJ Andrews

Publisher: John Wiley & Sons

Published: 2019-01-03

Total Pages: 343

ISBN-13: 1119483905

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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.

Human Compatible
Human Compatible

Author: Stuart Jonathan Russell

Publisher: Penguin Books

Published: 2019

Total Pages: 354

ISBN-13: 0525558616

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A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.

Who Can You Trust?
Who Can You Trust?

Author: Rachel Botsman

Publisher: PublicAffairs

Published: 2017-11-14

Total Pages: 349

ISBN-13: 1541773683

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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.

Fieldwork
Fieldwork

Author: Bruce Jackson

Publisher: University of Illinois Press

Published: 1987

Total Pages: 334

ISBN-13: 9780252013720

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Fieldwork deals with the practical, mechanical, ethical, and theoretical aspects of collecting data. Jackson discusses how fieldworkers define their role, how they relate to others in the field, and how they go about recording for later use what occurred in their presence. This treatment offers an abundance of useful information to those who do folklore fieldwork as well as those who work in any of the other social sciences or humanities. An appendix relates the author's own experiences while documenting Texas's death row.