Becoming Artificial PDF Download
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Author | : Danial Sonik |
Publisher | : Andrews UK Limited |
Total Pages | : 126 |
Release | : 2020-11-24 |
Genre | : Computers |
ISBN | : 1788360516 |
Download Becoming Artificial Book in PDF, ePub and Kindle
Becoming Artificial is a collection of essays about the nature of humanity, technology, artifice, and the irreducible connections between them. Artificial Intelligence (AI) was once the stuff of pure fantasy. Ideas about machines that could think seemed as plausible as space travel or inexpensive communication technology. The last two decades have introduced a number of game-changing innovations that make discussion of AI no longer a mere armchair speculation, but rather a serious topic of debate for everyone who will be affected, from policy makers to an increasingly displaced workforce. The growth in power of AI algorithms and systems has sparked many thought-provoking questions: Is there something fundamental to being human or are humans simply biological computers? Will AI continue to assist us or eventually enslave us? Can self-driving cars be legally responsible for their actions? And most importantly, how can we chart a path for AI that ensures a humane and beneficial future for society?
Author | : Tim Elmore |
Publisher | : John Wiley & Sons |
Total Pages | : 279 |
Release | : 2012-06-19 |
Genre | : Family & Relationships |
ISBN | : 1118258061 |
Download Artificial Maturity Book in PDF, ePub and Kindle
How to raise kids who can handle the real world Today's Generation iY (teens brought up with the Internet) and Homelanders (children born after 9/11) are overexposed to information at an earlier age than ever and paradoxically are underexposed to meaningful relationships and real-life experiences. Artificial Maturity addresses the problem of what to do when parents and teachers mistake children's superficial knowledge for real maturity. The book is filled with practical steps that adults can take to furnish the experiences kids need to balance their abilities with authentic maturity. Shows how to identify the problem of artificial maturity in Generation iY and Homelanders Reveals what to do to help children balance autonomy, responsibility, and information Includes a down-to-earth model for coaching and guiding youth to true maturity Artificial Maturity gives parents, teachers, and others who work with youth a manual for understanding and practicing the leadership kids so desperately need to mature in a healthy fashion.
Author | : Danial Sonik |
Publisher | : Andrews UK Limited |
Total Pages | : 142 |
Release | : 2020-11-24 |
Genre | : Computers |
ISBN | : 1788360524 |
Download Becoming Artificial Book in PDF, ePub and Kindle
Becoming Artificial is a collection of essays about the nature of humanity, technology, artifice, and the irreducible connections between them. Artificial Intelligence (AI) was once the stuff of pure fantasy. Ideas about machines that could think seemed as plausible as space travel or inexpensive communication technology. The last two decades have introduced a number of game-changing innovations that make discussion of AI no longer a mere armchair speculation, but rather a serious topic of debate for everyone who will be affected, from policy makers to an increasingly displaced workforce. The growth in power of AI algorithms and systems has sparked many thought-provoking questions: Is there something fundamental to being human or are humans simply biological computers? Will AI continue to assist us or eventually enslave us? Can self-driving cars be legally responsible for their actions? And most importantly, how can we chart a path for AI that ensures a humane and beneficial future for society?
Author | : Max Tegmark |
Publisher | : Vintage |
Total Pages | : 385 |
Release | : 2017-08-29 |
Genre | : Technology & Engineering |
ISBN | : 1101946601 |
Download Life 3.0 Book in PDF, ePub and Kindle
New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
Author | : Amir Husain |
Publisher | : Simon and Schuster |
Total Pages | : 224 |
Release | : 2017-11-21 |
Genre | : Computers |
ISBN | : 1501144677 |
Download The Sentient Machine Book in PDF, ePub and Kindle
Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.
Author | : Meredith Broussard |
Publisher | : MIT Press |
Total Pages | : 247 |
Release | : 2019-01-29 |
Genre | : Computers |
ISBN | : 026253701X |
Download Artificial Unintelligence Book in PDF, ePub and Kindle
A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.
Author | : Jason L. Anderson |
Publisher | : John Wiley & Sons |
Total Pages | : 179 |
Release | : 2020-04-09 |
Genre | : Business & Economics |
ISBN | : 1119651808 |
Download Artificial Intelligence for Business Book in PDF, ePub and Kindle
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.
Author | : Ivana Bartoletti |
Publisher | : Black Spot Books |
Total Pages | : 104 |
Release | : 2020-05-20 |
Genre | : Political Science |
ISBN | : 1911648128 |
Download An Artificial Revolution Book in PDF, ePub and Kindle
AI has unparalleled transformative potential to reshape society, our economies and our working lives, but without legal scrutiny, international oversight and public debate, we are sleepwalking into a future written by algorithms which encode racist, sexist and classist biases into our daily lives &– an issue that requires systemic political and cultural change to productively address. Leading privacy expert Ivana Bartoletti exposes the reality of the AI revolution, from the low-paid workers who toil to train algorithms to recognise cancerous polyps, to the rise of techno-racism and techno-chauvinism and the symbiotic relationship between AI and right wing populism. An Artificial Revolution is an essential primer to understand the intersection of technology and geopolitical forces shaping the future of civilisation.• Endorsements confirmed from leading UK political figures including David Lammy MP, Yvette Cooper MP, Paul Mason, Frances O'Grady and Ayesha Hazarika• A primer for anyone who is interested to learn more about the relation between AI and ethics, data and privacy, corporate power, politics and tech• Ivana is a sought-after commentator who has appeared on flagship news programmes on the BBC, Sky and other major broadcasters as a privacy and AI ethics expert, who also speaks at conferences around the world on AI and privacy
Author | : Thomas H. Davenport |
Publisher | : MIT Press |
Total Pages | : 243 |
Release | : 2019-08-06 |
Genre | : Business & Economics |
ISBN | : 0262538008 |
Download The AI Advantage Book in PDF, ePub and Kindle
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
Author | : Erik J. Larson |
Publisher | : Harvard University Press |
Total Pages | : 321 |
Release | : 2021-04-06 |
Genre | : Computers |
ISBN | : 0674983513 |
Download The Myth of Artificial Intelligence Book in PDF, ePub and Kindle
“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.