AI use in Academia

Combining clear labeled imagery with easy-to-understand text, this new edition of Simply Artificial Intelligence is the perfect introduction to the latest developments in AI, including ChatGPT and the Internet of Things. Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed how we live, and how it might evolve in the future.  Everyone is talking about AI, but this book helps to explain each individual aspect of AI more clearly than ever before.  This AI book: -Outlines the key building blocks and technological milestones in its history, profiles its most important practical applications - both current and predicted  -Explores the ethical debates around AI and its increasing influence on culture and society. -Provides an accessible, reader-friendly guide with detailed imagery and annotated illustrations,  expert insights, and jargon-free text -Studies and experiments such as The Turing Test and The Chinese Room experiment This book is part of the Simply Series, which includes books such as Simply Astronomy, Simply Psychology, Simply Maths, and more. Whether you are studying science or AI-related subjects at school or college or simply want a jargon-free overview of this increasingly important subject, this essential guide is packed with everything you need to understand the basics quickly and easily.

Increasingly, technology, the Internet and social media are playing a major part in our lives. What should we think about the ethical issues that arise, such as the changing role of intelligent machines in this Information Age? The impact of technology upon society is a perennial question, but the power of computing and artificial intelligence has ratcheted up the ethical implications of this relationship. It merits careful consideration. Ethics in the AI, Technology, and Information Age brings together a cohort of international scholars to explore the ethical ramifications of the latest technologies and their effects on our lives. This it does in three parts: (1) theoretical considerations, (2) practical applications, and (3) challenges. Beginning with theoretical essays, the book investigates the relationship between technology and nature, the limits of being "human" versus "machine," and the moral implications of artificial intelligence. The book then examines key questions; such as ownership of technology, artificial intelligence's replacement of human jobs and functions, privacy and cybersecurity, the ethics of self-driving cars, and the problematic aspects of drone warfare. With an appendix of films and documentaries to inspire further discussion on these topics, students and scholars will find Ethics in the AI, Technology, and Information Age an essential and engaging resource both in the classroom and in their daily technology-filled lives.

Ever since the large language model-based AI chatbot ChatGPT launched in 2022, there has been a significant amount of buzz and concern around the possibility of this technology impacting writing as both a creative and professional pursuit. Proponents of the use of ChatGPT and similar AI argue that it can be useful in helping people improve their writing and be more productive, while opponents fear that it could make writing less creative, discourage people from learning to effectively communicate themselves, and even result in the loss of jobs that involve writing. This volume considers viewpoints on both sides of this debate to explore the role of ChatGPT and other AI today and in the years to come.

Through the technology embedded in almost every major tech platform and web-enabled device, algorithms make a staggering number of everyday decisions for us. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators.

"This colorful page-turner puts artificial intelligence into a human perspective. Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling." --Walter Isaacson, author of The Code Breaker Recipient of starred reviews in both Kirkus and Library Journal THE UNTOLD TECH STORY OF OUR TIME   What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?   With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.    Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.   They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.   Genius Makers dramatically presents the fierce conflict among national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:   How far will we let it go?

"Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it." --John Horgan "If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence." --Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets. We make conjectures, informed by context and experience. And we haven't a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence--and what it would take to get there. "Larson worries that we're making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity." --David A. Shaywitz, Wall Street Journal "A convincing case that artificial general intelligence--machine-based intelligence that matches our own--is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know." --Sue Halpern, New York Review of Books