Ai For Good How Smart Machines Are Fixing A Broken World
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Ai For Good How Smart Machines Are Fixing A Broken World
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Author : Dizzy Davidson
language : en
Publisher: Pure Water Books
Release Date : 2025-07-24
Ai For Good How Smart Machines Are Fixing A Broken World written by Dizzy Davidson and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
If you're worried about climate change but feel powerless... If you've wondered whether AI can actually help real people—not just big tech firms... Or if you're looking for practical, hopeful ways to improve the world, starting today... THIS BOOK IS FOR YOU. AI For Good: How Smart Machines Are Fixing a Broken World is your front-row seat to the powerful and surprising ways artificial intelligence is being used to tackle humanity’s biggest problems—from pandemic prevention to plastic pollution, from mental health support to earthquake recovery. Packed with easy-to-follow explanations, real-life stories, and step-by-step guides, this book is perfect for curious minds of all ages—even if you've never touched a line of code. 🧠 Inside this game-changing read, you'll discover: ✅ How AI is fighting disease, disaster, and inequality around the globe ✅ Tricks and tools anyone can use to tap into AI for good—no tech degree needed ✅ Simple hacks to make smarter choices using machine learning principles ✅ Illustrated examples and inspiring success stories that will leave you hopeful and energized ✅ Actionable tips to start using AI in everyday life to help yourself and others Whether you're a student, parent, teacher, activist, or just someone who cares, this book brings the miracles of machine intelligence down to earth—with heart, clarity, and purpose. Get your copy today! Your journey to understanding and using AI for good starts right here.
What To Do When Machines Do Everything
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Author : Malcolm Frank
language : en
Publisher: John Wiley & Sons
Release Date : 2017-01-18
What To Do When Machines Do Everything written by Malcolm Frank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with Business & Economics categories.
“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Human Compatible
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Author : Stuart Russell
language : en
Publisher: National Geographic Books
Release Date : 2020-11-17
Human Compatible written by Stuart Russell and has been published by National Geographic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Technology & Engineering categories.
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.
The Big Nine
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Author : Amy Webb
language : en
Publisher: Hachette UK
Release Date : 2019-03-05
The Big Nine written by Amy Webb and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-05 with Business & Economics categories.
A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of "artificial" intelligence. The reality, though, is that we -- the everyday people whose data powers AI -- aren't actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can't see and have no input into -- one largely free from regulation or oversight. The big nine corporations -- Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM and Apple--are the new gods of AI and are short-changing our futures to reap immediate financial gain. In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI -- the people working on the system, their motivations, the technology itself -- is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity. Much more than a passionate, human-centered call-to-arms, this book delivers a strategy for changing course, and provides a path for liberating us from algorithmic decision-makers and powerful corporations.
The Alignment Problem Machine Learning And Human Values
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Author : Brian Christian
language : en
Publisher: W. W. Norton & Company
Release Date : 2020-10-06
The Alignment Problem Machine Learning And Human Values written by Brian Christian and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Science categories.
"If you’re going to read one book on artificial intelligence, this is the one." —Stephen Marche, New York Times A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
How To Stay Smart In A Smart World
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Author : Gerd Gigerenzer
language : en
Publisher: Penguin UK
Release Date : 2022-03-03
How To Stay Smart In A Smart World written by Gerd Gigerenzer and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-03 with Psychology categories.
'Enlightening, impassioned, powerful' The Times From dating apps and self-driving cars to facial recognition and the justice system, the increasing presence of AI has been widely championed - but there are limitations and risks too. In this book Gigerenzer shows how humans are often the greatest source of uncertainty and when people are involved, unwavering trust in complex algorithms can become a recipe for disaster. We need, now more than ever, to arm ourselves with knowledge that will help us make better decisions in a digital age. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the world in which we want to live. 'Masterful ... an essential read' Gary Klein, author of Sources of Power 'One of the world's most eminent psychologists' Spectator
Ai Superpowers
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Author : Kai-Fu Lee
language : en
Publisher: Harper Business
Release Date : 2018
Ai Superpowers written by Kai-Fu Lee and has been published by Harper Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business & Economics categories.
AI Superpowers is Kai-Fu Lee's New York Times and USA Today bestseller about the American-Chinese competition over the future of artificial intelligence.
Machines Like Us
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Author : Ronald J. Brachman
language : en
Publisher: MIT Press
Release Date : 2022-05-17
Machines Like Us written by Ronald J. Brachman and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Computers categories.
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.
Popular Science
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Author :
language : en
Publisher:
Release Date : 2004-09
Popular Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09 with categories.
Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.