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What To Expect When You're Expecting Robots
The next generation of robots will be truly social, but can we make sure that they play well in the sandbox? Most robots are just tools. They do limited sets of tasks subject to constant human control. But a new type of robot is coming. These machines will operate on their own in busy, unpredictable public spaces. They'll ferry deliveries, manage emergency rooms, even grocery shop. Such systems could be truly collaborative, accomplishing tasks we don't do well without our having to stop and direct them. This makes them social entities, so, as robot designers Laura Major and Julie Shah argue, whether they make our lives better or worse is a matter of whether they know how to behave. What to Expect When You're Expecting Robots offers a vision for how robots can survive in the real world and how they will change our relationship to technology. From teaching them manners, to robot-proofing public spaces, to planning for their mistakes, this book answers every question you didn't know you needed to ask about the robots on the way.
The Work of the Future
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We ...
A Neuroscientist Looks at Robots
"The book, written for a general educated public, compares the most important elements of the human nervous system to the corresponding capacities of robots. Crucial are the areas of activities for which the constraints limiting human and robot performances are much different. Those areas offer opportunities for synergies. The book argues that we now understand mechanisms for emotional feelings in the human brain so well that we will be able to program robots to act as though they also have emotion. Written in a clear and open fashion by an expert neuroscientist, the book will appeal to interested lay readers in addition to neuroscientists and computer scientists."--
Interactive Task Learning
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche ...
The Promises and Pitfalls of Technology in Higher Education
What will universities look like in 30- or 40-years’ time? This book looks at that future, examining the potential impact of technologies like artificial intelligence, virtual reality, smart buildings, drones, robots, and holograms in future universities. It is a story told in three acts. The first act takes the reader through a history of the modern university, highlighting major innovations that have transformed the academy since the founding of the University of Bologna in 1088. A second act builds on this history and transports the reader to the future, observing the application of these technologies in a future university from the point of view of professors, administrators, and students, as we tour the transformed campus with them. The third act examines how these technologies might be adopted most effectively through the combined effort of university leaders, administrators, faculty and students.
Machine Learning under Malware Attack
Machine learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return preferred predictions. Therefore, carefully crafted adversarial objects may impact the trust of machine learning systems compromising the reliability of their predictions, irrespective of the field in which they are deployed. The goal of this book is to improve the understanding of adversarial attacks, particularly in the malware context, and leverage the knowledge to explore defenses against adaptive adversaries. Furthermore, to study systemic weaknesses that can improve the resilience of machine learning models.
Research Handbook on the Law of Artificial Intelligence
The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.
Humanitarian Local and Regional Development
Critically reviewing major factors that disrupt local and regional development, Mustafa Dinc provides a transparent interpretation of the circular and cumulative relationship between these disruptions and development, highlighting ways to help interrupt this cycle. The book emphasizes the role and responsibility of individuals in the development process by exploring a humanist approach to local and regional development.
HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)
The next generation of AI is here—use it to lead your business forward. If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization. This book will inspire you to: Create a new AI strategy Learn to work with intelligent robots Get more from your marketing AI Be ready for ethical and regulatory challenges Understand how generative AI is game changing Stop tinkering with AI and go all in This collection of articles includes "C...
