Author: David J. Gunkel
Publisher: MIT Press
Release Date: 2012-07-13
One of the enduring concerns of moral philosophy is deciding who or what is deserving of ethical consideration. Much recent attention has been devoted to the "animal question" -- consideration of the moral status of nonhuman animals. In this book, David Gunkel takes up the "machine question": whether and to what extent intelligent and autonomous machines of our own making can be considered to have legitimate moral responsibilities and any legitimate claim to moral consideration. The machine question poses a fundamental challenge to moral thinking, questioning the traditional philosophical conceptualization of technology as a tool or instrument to be used by human agents. Gunkel begins by addressing the question of machine moral agency: whether a machine might be considered a legitimate moral agent that could be held responsible for decisions and actions. He then approaches the machine question from the other side, considering whether a machine might be a moral patient due legitimate moral consideration. Finally, Gunkel considers some recent innovations in moral philosophy and critical theory that complicate the machine question, deconstructing the binary agent--patient opposition itself. Technological advances may prompt us to wonder if the science fiction of computers and robots whose actions affect their human companions (think of HAL in 2001: A Space Odyssey) could become science fact. Gunkel's argument promises to influence future considerations of ethics, ourselves, and the other entities who inhabit this world.
Author: David J. Gunkel
Publisher: MIT Press
Release Date: 2016-04-29
Remix -- or the practice of recombining preexisting content -- has proliferated across media both digital and analog. Fans celebrate it as a revolutionary new creative practice; critics characterize it as a lazy and cheap (and often illegal) recycling of other people's work. In Of Remixology, David Gunkel argues that to understand remix, we need to change the terms of the debate. The two sides of the remix controversy, Gunkel contends, share certain underlying values -- originality, innovation, artistic integrity. And each side seeks to protect these values from the threat that is represented by the other. In reevaluating these shared philosophical assumptions, Gunkel not only provides a new way to understand remix, he also offers an innovative theory of moral and aesthetic value for the twenty-first century.In a section called "Premix," Gunkel examines the terminology of remix (including "collage," "sample," "bootleg," and "mashup") and its material preconditions, the technology of recording. In "Remix," he takes on the distinction between original and copy; makes a case for repetition; and considers the question of authorship in a world of seemingly endless recompiled and repurposed content. Finally, in "Postmix," Gunkel outlines a new theory of moral and aesthetic value that can accommodate remix and its cultural significance, remixing -- or reconfiguring and recombining -- traditional philosophical approaches in the process.
The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.
Author: David Gelernter
Publisher: Simon and Schuster
Release Date: 2010-06-15
A leading mind in the world of artificial intelligence answers the provocative question: “Can we introduce emotion into the computer?” Can we introduce emotion into the computer? David Gelernter, one of the leading lights in artificial intelligence today, begins The Muse in the Machine with this provocative question. In providing an answer, he not only points to a future revolution in computers, but radically changes our views of the human mind itself. Bringing together insights from computer science, cognitive psychology, philosophy of mind, and literary theory, David Gelernter presents what is sure to be a much debated view of how humans have thought, how we think today, and how computers will learn to think in the future.
Author: Matthew T. Dickerson
Publisher: Wipf and Stock Publishers
Release Date: 2016-07-29
Are humans just complex biochemical machines, mere physical parts of a causally closed materialist universe? Are we approaching the so-called "Singularity" when human consciousness can (and will) be downloaded into computers? Or is there more to the human person--something that might be known as soul or spirit? As this book makes clear, the answers to these questions have profound implications to topics such as heroism, creativity, ecology, and the possibility of reason and science. In exploring this important topic, Dickerson engages the ideas of some well-known twentieth- and twenty-first-century espousers of physicalism, including philosopher Daniel Dennett (Consciousness Explained), biologist Richard Dawkins (The God Delusion), futurist-engineer Raymond Kurzweil (The Age of Spiritual Machines), psychologist B. F. Skinner (Beyond Freedom and Dignity), and mathematician-philosopher Bertrand Russell (Why I Am Not a Christian). Through a careful reading of their works, Dickerson not only provides a five-fold critique of physicalism, but also offers a Christian alternative in the form of "integrative dualism," which affirms the existence of both a physical and spiritual reality without diminishing the goodness or importance of either, and acknowledges that humans are spiritual as well as bodily persons.
Author: Maxine Berg
Publisher: CUP Archive
Release Date: 1982-02-04
Genre: Business & Economics
Dr Berg argues that technical change was one of the foremost theoretical concerns of Ricardo and his successors, and the foundation for their distinctly optimistic view of the future. She shows how the Machinery Question fostered the social conditions in which the status of Political Economy as a discipline was established, and concludes that by the 1840s the divisions over machinery were firmly embedded in the great rival creeds of the future, liberalism and socialism.
Author: Brooke Gladstone
Publisher: W. W. Norton & Company
Release Date: 2011-05-23
Genre: Social Science
The cohost of NPR's On the Media narrates, in cartoon form, two millennia of the influence of the media on the populace, from newspapers in Caesar's Rome to the penny press of the American Revolution to today. 30,000 first printing.
Author: Marvin Minsky
Publisher: Simon and Schuster
Release Date: 2007-11-13
In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious as we are. Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.
"A globe-spanning investigation into the Transhumanist movement, considering the tech billionaires, scientific luminaries, and DIY body-hackers attempting to prolong, improve, and ultimately transcend the limits of human life"--
“Allow me to introduce you to your new favorite writer." —James Hannaham, award-winning author "Imaginative, engaging, emotionally resonant...this novel is itself a receipe for contentment." —Kirkus Reviews, starred review Smart and inventive, an emotional page-turner that considers the elusive definition of happiness. Pearl's job is to make people happy. Every day, she provides customers with personalized recommendations for greater contentment. She's good at her job, her office manager tells her, successful. But how does one measure an emotion? Meanwhile, there's Pearl's teenage son, Rhett. A sensitive kid who has forged an unconventional path through adolescence, Rhett seems to find greater satisfaction in being unhappy. The very rejection of joy is his own kind of "pursuit of happiness." As his mother, Pearl wants nothing more than to help Rhett--but is it for his sake or for hers? Certainly it would make Pearl happier. Regardless, her son is one person whose emotional life does not fall under the parameters of her job--not as happiness technician, and not as mother, either. Told from an alternating cast of endearing characters from within Pearl and Rhett's world, Tell the Machine Goodnight delivers a smartly moving and entertaining story about relationships and the ways that they can most surprise and define us. Along the way, Katie Williams playfully illuminates our national obsession with positive psychology, our reliance on quick fixes and technology. What happens when these obsessions begin to overlap? With warmth, humor, and a clever touch, Williams taps into our collective unease about the modern world and allows us see it a little more clearly.
Author: Jason Bell
Publisher: John Wiley & Sons
Release Date: 2014-10-20
Dig deep into the data with a hands-on guide to machine learning Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.
Author: Paul R. Daugherty
Publisher: Harvard Business Press
Release Date: 2018-03-20
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI.