Artificial Intelligence in Teaching & Learning

In the age of artificial intelligence, drafting an essay is as simple as typing a prompt and pressing enter. What does this mean for the art of writing? According to longtime writing teacher John Warner: not very much. More Than Words argues that generative AI programs like ChatGPT not only can kill the student essay but should, since these assignments don't challenge students to do the real work of writing. To Warner, writing is thinking--discovering your ideas while trying to capture them on a page--and feeling--grappling with what it fundamentally means to be human. The fact that we ask students to complete so many assignments that a machine could do is a sign that something has gone very wrong with writing instruction. More Than Words calls for us to use AI as an opportunity to reckon with how we work with words--and how all of us should rethink our relationship with writing.

From one of the world's top researchers on work and technology comes an insightful and surprising guide to protecting your skill in a world filling with AI and robots. Think of your most valuable skill, the thing you can reliably do under pressure to deliver results. How did you learn it Whatever your job - plumber, attorney, teacher, surgeon - decades of research show that you achieved mastery by working with someone who knew more than you did. Formal learning--school and books--gave you conceptual knowledge, but you developed your skill by working with an expert. Today, this essential bond is under threat. In our grail-like quest to optimize productivity with intelligent technologies like AI and robots, we are separating junior workers from experts in workplaces around the world. It's a looming multi-trillion-dollar problem that few are addressing, until now. In The Skill Code, researcher and technologist Matt Beane reveals the hidden code that underwrites every successful expert-novice relationship. Beane has spent the last decade examining this unique bond in a variety of settings, from warehouses to surgical suites. He's found that just as the four amino acids are the building blocks of DNA, the three C's--challenge, complexity, and connection--are the basic components of how we develop our most valuable skills. Whether you're an expert or a novice, this book will show you how to build skill more effectively - and how to make intelligent technologies part of the solution, not the problem. The Skill Code is an insightful must-read, with significant implications for how we will work and build skill in the twenty-first century--a guide to help you not only survive but thrive.

With the rapid development of artificial intelligence and labor-saving technologies like self-checkouts and automated factories, the future of work has never been more uncertain, and even jobs requiring high levels of human interaction are no longer safe. The Last Human Job explores the human connections that underlie our work, arguing that what people do for each other in these settings is valuable and worth preserving. Drawing on in-depth interviews and observations with people in a broad range of professions--from physicians, teachers, and coaches to chaplains, therapists, caregivers, and hairdressers--Allison Pugh develops the concept of "connective labor," a kind of work that relies on empathy, the spontaneity of human contact, and a mutual recognition of each other's humanity. The threats to connective labor are not only those posed by advances in AI or apps; Pugh demonstrates how profit-driven campaigns imposing industrial logic shrink the time for workers to connect, enforce new priorities of data and metrics, and introduce standardized practices that hinder our ability to truly see each other. She concludes with profiles of organizations where connective labor thrives, offering practical steps for building a social architecture that works. Vividly illustrating how connective labor enriches the lives of individuals and binds our communities together, The Last Human Job is a compelling argument for us to recognize, value, and protect humane work in an increasingly automated and disconnected world.

In 2022, the U.S. Department of Homeland Security announced it was training "robot dogs" to help secure the U.S.-Mexico border against migrants. Four-legged machines equipped with cameras and sensors would join a network of drones and automated surveillance towers--nicknamed the "smart wall." This is part of a worldwide trend: as more people are displaced by war, economic instability, and a warming planet, more countries are turning to AI-driven technology to "manage" the influx. Based on years of researching borderlands across the world, lawyer and anthropologist Petra Molnar's The Walls Have Eyes is a truly global story--a dystopian vision turned reality, where your body is your passport and matters of life and death are determined by algorithm. Examining how technology is being deployed by governments on the world's most vulnerable with little regulation, Molnar also shows us how borders are now big business, with defense contractors and tech start-ups alike scrambling to capture this highly profitable market. With a foreword by former UN Special Rapporteur E. Tendayi Achiume, The Walls Have Eyes reveals the profound human stakes of the sharpening of borders around the globe, foregrounding the stories of people on the move and the daring forms of resistance that have emerged against the hubris and cruelty of those seeking to use technology to turn human beings into problems to be solved.

Intelligent machines present us every day with urgent ethical challenges. Is the facial recognition software used by an agency fair? When algorithms determine questions of justice, finance, health, and defense, are the decisions proportionate, equitable, transparent, and accountable? How do we harness this extraordinary technology to empower rather than oppress?   Despite increasingly sophisticated programming, artificial intelligences share none of our essential human characteristics--sentience, physical sensation, emotional responsiveness, versatile general intelligence. However, Nigel Shadbolt and Roger Hampson argue, if we assess AI decisions, products, and calls for action as if they came from a human being, we can avert a disastrous and amoral future. The authors go beyond the headlines about rampant robots to apply established moral principles in shaping our AI future. Their new framework constitutes a how-to for building a more ethical machine intelligence.

How AI is revolutionizing the future of learning and how educators can adapt to this new era of human thinking. Artificial Intelligence (AI) is revolutionizing the way we learn, work, and think. Its integration into classrooms and workplaces is already underway, impacting and challenging ideas about creativity, authorship, and education. In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. José 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. By learning how to use new AI tools and resources, educators will gain the confidence to navigate the challenges and seize the opportunities presented by AI. From interactive learning techniques to advanced assignment and assessment strategies, this comprehensive guide offers practical suggestions for integrating AI effectively into teaching and learning environments. Bowen and Watson tackle crucial questions related to academic integrity, cheating, and other emerging issues. In the age of AI, critical thinking skills, information literacy, and a liberal arts education are more important than ever. As AI continues to reshape the nature of work and human thinking, educators can equip students with the skills they need to thrive in a rapidly evolving world. This book serves as a compass, guiding educators through the uncharted territory of AI-powered education and the future of teaching and learning.

Something new entered our world in November 2022 -- the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world.  In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using dozens of real-time examples of AI in action. Co-Intelligence shows what it means to think and work together with smart machines, and why it's imperative that we master that skill.  Mollick challenges us to utilize AI's enormous power without losing our identity, to learn from it without being misled, and to harness its gifts to create a better human future. Wide ranging, hugely thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of this new era.

The field of artificial intelligence is rapidly evolving, and one of the most exciting developments in recent years has been the emergence of generative models. These models have shown the ability to produce human-like language and even generate images, videos, and music. While the potential applications of generative models are vast and impressive, there are also serious concerns about the ethical implications of their use. As the potential of AI and generative models is explored, it is essential to consider the impact they may have on society. AI must be used in a way that is ethical, transparent, and beneficial to all of society. This will require collaboration between government, industry, and academia to ensure that the AI developed is reliable, trustworthy, and aligned with public policy goals.

How AI is revolutionizing the future of learning and how educators can adapt to this new era of human thinking. Artificial Intelligence (AI) is revolutionizing the way we learn, work, and think. Its integration into classrooms and workplaces is already underway, impacting and challenging ideas about creativity, authorship, and education. In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. José 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. By learning how to use new AI tools and resources, educators will gain the confidence to navigate the challenges and seize the opportunities presented by AI. From interactive learning techniques to advanced assignment and assessment strategies, this comprehensive guide offers practical suggestions for integrating AI effectively into teaching and learning environments. Bowen and Watson tackle crucial questions related to academic integrity, cheating, and other emerging issues. In the age of AI, critical thinking skills, information literacy, and a liberal arts education are more important than ever. As AI continues to reshape the nature of work and human thinking, educators can equip students with the skills they need to thrive in a rapidly evolving world. This book serves as a compass, guiding educators through the uncharted territory of AI-powered education and the future of teaching and learning.

The field of artificial intelligence (AI) has gone through multiple waves of advancement over the decades. Today, AI can broadly be thought of as computerized systems that work and react in ways commonly thought to require intelligence, such as the ability to learn, solve problems, and achieve goals under uncertain and varying conditions. The field encompasses a range of methodologies and application areas, including machine learning (ML), natural language processing, and robotics. AI holds potential benefits and opportunities, but also challenges and pitfalls. For example, AI technologies can accelerate and provide insights into data processing; augment human decision-making; optimize performance for complex tasks and systems; and improve safety for people in dangerous occupations. On the other hand, AI systems may perpetuate or amplify bias, may not yet be fully able to explain their decision-making, and often depend on vast datasets that are not widely accessible to facilitate research and development (R&D). Further, stakeholders have questioned the adequacy of human capital in both the public and private sectors to develop and work with AI, as well as the adequacy of current laws and regulations for dealing with societal and ethical issues that may arise. Together, such challenges can lead to an inability to fully assess and understand the operations and outputs of AI systems.

The misuse of AI has led to wrongful arrests, denial of medical care, even genocide-this book offers 7 powerful principles that business can use now to end the harm.AI holds incredible promise to improve virtually every aspect of our lives, but we can't ignore its risks, mishaps and misuses. Juliette Powell and Art Kleiner offer seven principles for ensuring that machine learning supports human flourishing. They draw on Powell's research at Columbia University and use a wealth of real-world examples. Four principles relate to AI systems themselves. Human risk must be rigorously determined and consciously included in any design process. AI systems must be understandable and transparent to any observer, not just the engineers working on them. People must be allowed to protect and manage their personal data. The biases embedded in AI must be confronted and reduced. The final three principles pertain to the organizations that create AI systems. There must be procedures in place to hold them accountable for negative consequences. Organizations need to be loosely structured so that problems in one area can be isolated and resolved before they spread and sabotage the whole system. Finally, there must be psychological safety and creative friction, so that anyone involved in software development can bring problems to light without fear of reprisal. Powell and Kleiner explore how to implement each principle, citing current best practices, promising new developments, and sobering cautionary tales. Incorporating the perspectives of engineers, businesspeople, government officials, and social activists, this book will help us realize the unprecedented benefits and opportunities AI systems can provide.

This book will provide a global perspective on AI and the challenges it represents, and will focus on the digital ethics surrounding AI technology.

Artificial intelligence (AI) is the most disruptive technological field today as it transforms virtually all spheres of life of the modern society, from healthcare, finance, security and defense to autonomous vehicles, social regulation, drug discovery, code development and cutting-edge research on general human-like intelligence. This volume explores topics such as the problems of ethical AI and the prospects of technology reaching human-like intelligence. It includes a broad spectrum of approaches to the field which discuss artificial intelligence from the stances of ethics, economics, game theory, defense studies, computer science and philosophy.