We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
If governed adequately, AI (artificial intelligence) has the potential to benefit humankind enormously. However, if mismanaged, it also has the potential to harm humanity catastrophically. The title of this book reflects the belief that access to the benefits of AI, awareness about the nature of the technology, governance of the technology and its development process with a focus on responsible development, should be transparent, open, understood by and accessible to all people regardless of their geographic, generational, economic, cultural and/or other social background. The book is the result of a discussion series organized by the Association of Pacific Rim Universities (APRU) which was financially supported by Google.
AI for Everyone: Understanding and Harnessing Artificial Intelligence by Gideon Rayburn is a comprehensive guide designed to demystify the world of artificial intelligence (AI) for the general reader. As AI continues to revolutionize industries ranging from business and government to healthcare and education, a fundamental understanding of this transformative technology is essential for anyone wishing to stay ahead in our rapidly evolving society. Rayburn, a seasoned expert in the field, presents complex concepts in an accessible and engaging manner, making this book an invaluable resource for those who may not have a technical background. The book provides a broad overview of the key ideas and techniques behind AI, exploring its potential impact and the ethical and societal challenges it presents. Whether you are a business leader, a policymaker, a student, or simply a curious individual, "AI for Everyone" equips you with the knowledge needed to navigate and thrive in the AI-driven future.
Imagine a world where Artificial Intelligence is as universal as electricity, powering every aspect of human endeavor from agriculture to art, finance to philanthropy, education to entertainment. Welcome to 'AI for Everyone: Prompts, Productivity, Possibilities,' a journey into the democratization of AI, making it accessible not just to engineers and scientists but to artists, writers, educators, and business professionals across the globe. AI for Everyone breaks down complex AI concepts into practical, easy-to-understand applications that can enhance everyday life. Whether you're looking to streamline your business, spark your creative project, or simply make more informed decisions, AI has a role to play. This book isn't just about understanding AI—it's about leveraging it to create new opportunities and realize success. Through practical hands-on experiences, we'll explore how AI can be a tool for innovation and transformation in any field. But why should you learn AI, specifically prompt engineering? Because it's the key to unlocking AI's full potential. From enhancing productivity and driving innovation to fostering creativity, understanding prompt engineering is essential for anyone looking to future-proof their career and expand their creative horizons. In this book, we'll introduce the thinking behind applying AI to diverse problems and challenges, teach you to harness the tools at your disposal, and ultimately, empower you to apply AI wherever necessary. We cover a vast array of tools, including powerful AI models like ChatGPT and Gemini, providing you with the skills to interact with and enhance these technologies for your purposes. From mastering the basics of AI technologies to exploring advanced applications, 'AI for Everyone' offers a comprehensive look at how to harness the potential of artificial intelligence. This exploration is not just about what AI can do, but also about what it should do, incorporating discussions on the ethical implications of AI and how we can shape a future where technology amplifies the best of humanity. Join us as we embark on this incredible adventure to make AI accessible to everyone. Your journey into the transformative world of AI starts right here. Open the first page, and step into the future. We're excited to see where this journey takes you, offering not just insights but a platform for growth, reflection, and application in a world increasingly driven by AI. AI for Everyone is more than a book; it's a companion in the unfolding narrative of our technologically augmented lives. Get ready to be inspired, educated, and empowered to take part in the AI revolution. Your future starts now, and it's filled with endless possibilities
Have you ever spoken to a machine that felt real? This book will show you how! Large Language Models (LLMs) are revolutionizing the way we interact with technology. These powerful AI systems can hold conversations, generate creative text formats, and even translate languages. But LLMs aren't just for tech giants anymore. This book breaks down the complex world of LLMs in a clear and engaging way, making it accessible to everyone. Inside you'll discover: What LLMs are and how they work (no technical jargon!) How LLMs can be used in your everyday life, from writing emails to sparking creative ideas The exciting possibilities of LLMs for the future, from smarter chatbots to personalized education tools Important considerations like bias and fairness in AI Whether you're a curious beginner or someone who wants to leverage the power of AI, this book is your guide to unlocking the potential of Large Language Models.
If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
** #1 Wall Street Journal Bestseller ** In this essential book written by a rural native and Silicon Valley veteran, Microsoft’s Chief technology officer tackles one of the most critical issues facing society today: the future of artificial intelligence and how it can be realistically used to promote growth, even in a shifting employment landscape. There are two prevailing stories about AI: for heartland low- and middle-skill workers, a dystopian tale of steadily increasing job destruction; for urban knowledge workers and the professional class, a utopian tale of enhanced productivity and convenience. But there is a third way to look at this technology that will revolutionize the workplace and ultimately the world. Kevin Scott argues that AI has the potential to create abundance and opportunity for everyone and help solve some of our most vexing problems. As the chief technology officer at Microsoft, he is deeply involved in the development of AI applications, yet mindful of their potential impact on workers—knowledge he gained firsthand growing up in rural Virginia. Yes, the AI Revolution will radically disrupt economics and employment for everyone for generations to come. But what if leaders prioritized the programming of both future technology and public policy to work together to find solutions ahead of the coming AI epoch? Like public health, the space program, climate change and public education, we need international understanding and collaboration on the future of AI and work. For Scott, the crucial question facing all of us is this: How do we work to ensure that the continued development of AI allows us to keep the American Dream alive? In this thoughtful, informed guide, he offers a clear roadmap to find the answer.
AI for Arts is a book for anyone fascinated by the man–machine connection, an unstoppable evolution that is intertwining us with technology in an ever-greater degree, and where there is an increasing concern that it will be technology that comes out on top. Thus, presented here through perhaps its most esoteric form, namely art, this unfolding conundrum is brought to its apex. What is left of us humans if artificial intelligence also surpasses us when it comes to art? The articulation of an artificial intelligence art manifesto is long overdue, so hopefully this book can fill a gap that will have repercussions not only for aesthetic and philosophical considerations but possibly more so for the development of artificial intelligence.
