Human Machine Learning

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. 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 autonomous vehicles on our streets can injure or kill.

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and 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 completely reimagine them.

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

Hugh Howey is known for crafting riveting and immersive tales of boundless imagination. Now comes Machine Learning, an impressive collection of Howey's science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and 15 additional stories collected here for the first time. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author's note.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

The Neuroscience of Learning: How Brain Science and AI Can Elevate Your Learning What if you could learn faster, retain information more effectively, and unlock hidden potential within your mind? In The Neuroscience of Learning, discover the groundbreaking science behind how we learn and the practical applications that can make us all better learners. Blending leading-edge neuroscience with everyday insights, this book offers a transmutative look at how our brains function during learning, the influence of emotions and motivation, and the remarkable ways our brains’ neuroplasticity allows...

The “groundbreaking, magisterial, alarming”(Financial Times) exposé of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior The heady optimism of the Internet’s early days has turned dark. Surveillance...

A brilliant new theory of the mind that upends our understanding of how the brain interacts with the world For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new...

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Think machines "think" like people? They don't — and that’s the good news. The Machine and the Mind cuts through the hype with clear analogies, tiny thought experiments, and just enough tech to be useful. In short chapters you’ll see neurons vs. transistors, sticky notes vs. databases, pet tricks vs. reinforcement learning, and why a chess victory doesn’t mean a machine understands the world. You’ll finish knowing how memory, learning, decision-making, language, and creativity work in both brains and machines, when to trust an algorithm and when to whistle for a second opinion, ...

NEW YORK TIMES BESTSELLER Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development...

As Artificial Intelligence (AI) becomes more dynamic and ubiquitous, it is dramatically empowering people in all walks of life while also giving rise to urgent questions about the future of humanity—a historic challenge whose contours and consequences are revealed by three eminent thinkers in...

Transform Your Understanding of AI from Confusion to Confidence While millions panic about being left behind by AI, the revolution has barely begun. We're at the 1995 - equivalent of the internet age - and understanding AI now puts you ahead of 90% of the workforce. This practical guide cuts through the ChatGPT hype to reveal what's really happening with artificial intelligence. You'll discover the crucial difference between generative AI (tools that create content) and agentic AI (systems that make autonomous decisions) - a distinction that changes everything about how you evaluate, adopt,...

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society—and what this technology means for us all. An AI learned to win chess by making moves human grand masters had never conceived. Another...

This is the first reference book on intelligent automation (IA). Also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.

The author of this book has crafted an accessible introduction that demystifies machine learning without sacrificing accuracy or depth. By focusing on intuitive explanations, practical examples, and real-world applications, this guide bridges the gap between complex technical concepts and practical understanding. Whether you're a student considering a career in technology, a professional looking to understand how AI might impact your industry, or simply a curious individual wanting to understand the algorithms that increasingly shape our world, this book provides the foundation you need.

See into the future of artificial intelligence And how it impacts YOU. What will happen when computers can think like humans, when they become smarter than us? Is life going to become easier? Will they take our jobs? Will they be out of our control? We already use AI machines in our daily lives: They’re in our phones, our cars, and our social media accounts. Buy “Artificial Intelligence: The Future of Machine Learning, Deep Learning, Neural Networks and Computer Superintelligence” to learn: What is artificial intelligence? How does artificial intelligence work? How machine learning ...

The Dangers of AI Artificial intelligence is transforming the world—but at what cost? From automated decision-making to deepfake deception, AI has already infiltrated industries, politics, and personal lives in ways few imagined. While promising unprecedented efficiency and innovation, it also threatens privacy, employment, and even human autonomy. This book exposes the hidden risks of AI, exploring its ethical dilemmas, unforeseen consequences, and the real-world dangers lurking behind advanced algorithms. Whether it's biased machine learning, mass surveillance, or AI-powered ...

In 2012, a neural network called AlexNet shocked the world by crushing the ImageNet competition. That single event ignited the modern deep learning revolution, propelling artificial intelligence from a laboratory curiosity into the economic and cultural force we know today. What was once science fiction—machines that see, hear, and converse—suddenly felt inevitable. The breakthroughs that followed transformed medicine, transportation, entertainment, and the global economy itself.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.