Advertisement
| artificial intelligence discussion questions: Klara and the Sun Kazuo Ishiguro, 2021-03-02 NEW YORK TIMES BESTSELLER • Once in a great while, a book comes along that changes our view of the world. This magnificent novel from the Nobel laureate and author of Never Let Me Go is “an intriguing take on how artificial intelligence might play a role in our futures ... a poignant meditation on love and loneliness” (The Associated Press). • A GOOD MORNING AMERICA Book Club Pick! Here is the story of Klara, an Artificial Friend with outstanding observational qualities, who, from her place in the store, watches carefully the behavior of those who come in to browse, and of those who pass on the street outside. She remains hopeful that a customer will soon choose her. Klara and the Sun is a thrilling book that offers a look at our changing world through the eyes of an unforgettable narrator, and one that explores the fundamental question: what does it mean to love? |
| artificial intelligence discussion questions: The Big Nine Amy Webb, 2019-03-05 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. |
| artificial intelligence discussion questions: The Fourth Age Byron Reese, 2020-03-17 As we approach a great turning point in history when technology is poised to redefine what it means to be human, The Fourth Age offers fascinating insight into AI, robotics, and their extraordinary implications for our species. “If you only read just one book about the AI revolution, make it this one” (John Mackey, cofounder and CEO, Whole Foods Market). In The Fourth Age, Byron Reese makes the case that technology has reshaped humanity just three times in history: 100,000 years ago, we harnessed fire, which led to language; 10,000 years ago, we developed agriculture, which led to cities and warfare; 5,000 years ago, we invented the wheel and writing, which lead to the nation state. We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. “Timely, highly informative, and certainly optimistic” (Booklist), The Fourth Age provides an essential background on how we got to this point, and how—rather than what—we should think about the topics we’ll soon all be facing: machine consciousness, automation, changes in employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity. By asking questions like “Are you a machine?” and “Could a computer feel anything?”, Reese leads you through a discussion along the cutting edge in robotics and AI, and provides a framework by which we can all understand, discuss, and act on the issues of the Fourth Age and how they’ll transform humanity. |
| artificial intelligence discussion questions: Scary Smart Mo Gawdat, 2022-12-08 A Sunday Times Business Book of the Year. Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy. Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. - Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself. 'No one ever regrets reading anything Mo Gawdat has written.' - Emma Gannon, author of The Multi-Hyphen Method and host of the podcast Ctrl Alt Delete |
| artificial intelligence discussion questions: The Artificial Intelligence Playbook Meghan Hargrave, Douglas Fisher, Nancy Frey, 2024-03-05 Time Saving AI Tools that Make Learning More Engaging Busy educators need tools that support their planning and provide them with more time with students. While Artificial Intelligence (AI) has emerged as a promising solution, it can only help if we’re willing to learn how to use it in ways that improve upon what we already do well. The Artificial Intelligence Playbook: Time Saving Tools that Make Learning More Engaging is here to empower teachers to explore AI’s potential and discover practical ways to implement it to enhance their planning and instruction. Two chapters and 6 Educator Functions guide teachers step-by-step through how to purposely use AI to: Compose Writing Prompts and Avoid Plagiarism Manage Content Foster Student Engagement Meet Students’ Instructional Needs Assess Student Learning Continue Lifelong Learning Though AI has the potential to reduce workload for educators, it will never replace teachers. Your connection with students is irreplaceable—and greatly impacts their learning. Consider AI a valuable tool that provides you with more time to build and sustain those vital relationships with students and that can assist them in learning at the very same time. |
| artificial intelligence discussion questions: Artificial Intelligence for a Better Future Bernd Carsten Stahl, 2021-03-17 This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place. |
| artificial intelligence discussion questions: Artificial Intelligence John Haugeland, 1989-01-06 Machines who think—how utterly preposterous, huff beleaguered humanists, defending their dwindling turf. Artificial Intelligence—it's here and about to surpass our own, crow techno-visionaries, proclaiming dominion. It's so simple and obvious, each side maintains, only a fanatic could disagree. Deciding where the truth lies between these two extremes is the main purpose of John Haugeland's marvelously lucid and witty book on what artificial intelligence is all about. Although presented entirely in non-technical terms, it neither oversimplifies the science nor evades the fundamental philosophical issues. Far from ducking the really hard questions, it takes them on, one by one. Artificial intelligence, Haugeland notes, is based on a very good idea, which might well be right, and just as well might not. That idea, the idea that human thinking and machine computing are radically the same, provides the central theme for his illuminating and provocative book about this exciting new field. After a brief but revealing digression in intellectual history, Haugeland systematically tackles such basic questions as: What is a computer really? How can a physical object mean anything? What are the options for computational organization? and What structures have been proposed and tried as actual scientific models for intelligence? In a concluding chapter he takes up several outstanding problems and puzzles—including intelligence in action, imagery, feelings and personality—and their enigmatic prospects for solution. |
| artificial intelligence discussion questions: Artificial Intelligence in Education H. Chad Lane, Kalina Yacef, Jack Mostow, Philip Pavlik, 2013-06-22 This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up. |
| artificial intelligence discussion questions: Handbook on the Ethics of Artificial Intelligence David J. Gunkel, 2024-07-05 This engaging Handbook identifies and critically examines the moral opportunities and challenges typically attributed to artificial intelligence. It provides a comprehensive overview and examination of the most pressing and urgent problems with this technology by drawing on a wide range of analytical methods, traditions, and approaches. |
| artificial intelligence discussion questions: The Myth of Artificial Intelligence Erik J. Larson, 2021-04-06 “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own. |
| artificial intelligence discussion questions: A Citizen's Guide to Artificial Intelligence John Zerilli, 2021-02-23 A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation. |
| artificial intelligence discussion questions: Advances in Artificial Intelligence, Big Data and Algorithms G. Grigoras, P. Lorenz, 2023-12-19 Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms. |
| artificial intelligence discussion questions: Artificial Intelligence in Education Gautam Biswas, Susan Bull, Judy Kay, Antonija Mitrovic, 2011-06-13 This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence in Education, AIED 2011, held in Auckland, New Zealand in June/July 2011. The 49 revised full papers presented together with three invited talks and extended abstracts of poster presentations, young researchers contributions and interactive systems reports and workshop reports were carefully reviewed and selected from a total of 193 submissions. The papers report on technical advances in and cross-fertilization of approaches and ideas from the many topical areas that make up this highly interdisciplinary field of research and development including artificial intelligence, agent technology, computer science, cognitive and learning sciences, education, educational technology, game design, psychology, philosophy, sociology, anthropology and linguistics. |
| artificial intelligence discussion questions: The Artificial Intelligence Imperative Anastassia Lauterbach, Andrea Bonime-Blanc, 2018-04-12 This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. Artificial intelligence has arrived, and it's coming to a business near you. The disruptive impact of AI on the global economy—from health care to energy, financial services to agriculture, and defense to media—is enormous. Technology literacy is a must for traditional businesses, their boards, policy makers, and governance professionals. This is the first book to explain where AI comes from, why it has emerged as one of the most powerful forces in mergers and acquisitions and research and development, and what companies need to do to implement it successfully. It equips business leaders with a practical roadmap for competing and even thriving in the face of the coming AI revolution. The authors analyze competitive trends, provide industry and governance examples, and explain interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. At the same time, AI experts will learn how their research and products can increase the competitiveness of their businesses, and corporate boards will come away with a thorough knowledge of the AI governance, ethics, and risk questions to ask. |
| artificial intelligence discussion questions: The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies Anthony Elliott, 2024-07-22 The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies examines the relationship of the social sciences to artificial intelligence, surveying the various convergences and divergences between science and technology studies on the one hand and identity transformations on the other. It provides representative coverage of all aspects of the AI revolution, from employment to education to military warfare, impacts on public policy and governance and the future of ethics. How is AI currently transforming social, economic, cultural and psychological processes? This handbook answers these questions by looking at recent developments in supercomputing, deep learning and neural networks, including such topics as AI mobile technology, social robotics, big data and digital research. It focuses especially on mechanisms of identity by defining AI as a new context for self-exploration and social relations and analyzing phenomena such as race, ethnicity and gender politics in human-machine interfaces. |
| artificial intelligence discussion questions: The Alignment Problem: Machine Learning and Human Values Brian Christian, 2020-10-06 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. |
| artificial intelligence discussion questions: Artificial Intelligence Revolutionizing Education KHRITISH SWARGIARY, 2024-10-01 The field of education has undergone transformative changes throughout history, but perhaps no innovation holds as much potential for reshaping learning as artificial intelligence (AI). With the advent of AI technologies, education is entering a new era where adaptive learning, personalized instruction, and data-driven insights are becoming integral to the educational landscape. This book, Artificial Intelligence Revolutionizing Education: Present Impact and Future Potential, embarks on a comprehensive journey through the many ways AI is changing education today and how it could reshape the future. In writing this book, I sought to address both the promise and complexities that AI brings to education. The chapters within explore the technology’s current applications, from adaptive learning systems and AI-powered tutoring to the challenges of data privacy, ethics, and access. Furthermore, I examine AI’s role in addressing inclusivity, supporting students with diverse needs, and fostering collaborative virtual classrooms. By analyzing these developments and drawing insights from global case studies, I hope to provide a balanced perspective on how AI can enhance learning while also emphasizing the importance of ethical considerations. Artificial Intelligence Revolutionizing Education would not have been possible without the immense support and contributions from various colleagues, mentors, and friends who provided invaluable insights and encouragement throughout the research and writing process. My goal with this book is to inspire educators, policymakers, students, and technology enthusiasts alike to consider the potential of AI in education thoughtfully and responsibly. As you read, I invite you to ponder both the opportunities and responsibilities we hold in integrating AI into learning environments. AI has the power to create more inclusive, accessible, and efficient education systems, but its success will depend on our collective commitment to balancing innovation with ethical stewardship. |
| artificial intelligence discussion questions: Principles of Artificial Intelligence Ethics Dr.S.Suresh Kumar, Dr.Bomma Rama Krishna, Rama Bhadra Rao maddu, 2023-05-02 Artificial Intelligence (AI) is a rapidly advancing field that has captured the attention of researchers, businesses, and the public. AI has the potential to revolutionize various industries and transform the way we live, work, and communicate. However, it also poses ethical challenges that must be addressed to ensure its development and deployment align with our values and principles. This book aims to provide an in-depth understanding of AI, its history and evolution, its benefits and challenges, and its ethical implications. Chapter 1 lays the foundation by introducing the concept of AI, its types, and applications, as well as its benefits and challenges. Chapter 2 explores the ethical considerations of AI, including its impact on society, healthcare, education, transportation, customer service, cybersecurity, gaming, business, law, blockchain, search engines, and big data analytics. It also discusses the importance of ethical considerations in the development and deployment of AI. This book is intended for students, researchers, practitioners, policymakers, and anyone interested in gaining a comprehensive understanding of AI and its ethical implications. It is our hope that this book will contribute to a thoughtful and responsible development of AI that reflects our shared values and aspirations. |
| artificial intelligence discussion questions: Applying Artificial Intelligence in Project Management Paul Boudreau, 2024-10-10 This book describes the AI tools in concept and how they apply directly to project success. It also demonstrates the strategy and methods used to purchase and implement AI tools for project management. You will understand the difference between automating a task and changing it by using AI. Discover how AI uses data and the importance of data maintenance. Learn why projects fail and how using artificial intelligence for project management improves project success rates. The book features project management success stories and demonstrates how to leave behind that low project success rate for one that is 95 percent or higher. Supplemental teaching materials are available for use as a textbook. FEATURES: Covers a practical approach to using AI in project management Features a chapter on combining AI with other technologies such as IoT, Blockchain, and virtual reality for further insights into leading-edge changes for project management Demonstrates how to achieve higher productivity and incredible project performance by applying AI concepts Includes supplemental teaching materials for use as a textbook |
| artificial intelligence discussion questions: An Introduction to Cyberpsychology Irene Connolly, Marion Palmer, Hannah Barton, Gráinne Kirwan, 2016-03-17 An Introduction to Cyberpsychology is the first book to provide a student-oriented introduction to this rapidly growing and increasingly studied topic. It is designed to encourage students to critically evaluate the psychology of online interactions, and to develop appropriate research methodologies to complete their own work in this field. The book is comprised of four main sections: An overview of cyberpsychology and online research methodologies Social psychology in an online context The practical applications of cyberpsychology The psychological aspects of other technologies. Each chapter includes: Explanations of key terms and a glossary to facilitate understanding Content summaries to aid student learning Activity boxes, discussion questions and recommended reading to guide further study. Further resources for students and instructors are available on the book’s companion website, including audio and video links, essay questions, a multiple-choice test bank, and PowerPoint lecture slides. Uniquely combining a survey of the field with a focus on the applied areas of psychology, the book is designed to be a core text for undergraduate modules in cyberpsychology and the psychology of the internet, and a primer for students of postgraduate programs in cyberpsychology. |
| artificial intelligence discussion questions: Population Health Analytics Martha L. Sylvia, Ines Maria Vigil, 2021-03 Binding: PB-- |
| artificial intelligence discussion questions: Artificial Intelligence Research and Development I. Sanz, R. Ros, J. Nin, 2023-11-09 Artificial intelligence is no longer solely the preserve of computer scientists and researchers; it is now a part of all our lives, and hardly a day goes by without discussion and debate about the implications of its many applications in the mainstream media. This book presents the proceedings of CCIA 2023, the 25th International Conference of the Catalan Association for Artificial Intelligence, held from 25 - 27 October 2023 in Barcelona, Spain. CCIA serves as an annual forum welcoming participants from around the globe. The theme of the 2023 conference was Supportive AI, the main goals of which are to strengthen collaboration between research and industry by sharing the latest advances in artificial intelligence, and opening discussion about how AI can better support the current needs of industry. A total of 54 submissions were received for the conference, of which the 26 full papers, 18 short papers and 6 abstracts included here were selected after peer review. The papers cover a wide range of topics in Artificial Intelligence, including machine learning, deep learning, social media evaluation, consensus-building, data science, recommender systems, and decision support systems, together with crucial applications of AI in fields such as health, education, disaster response, and the ethical impact of AI on society. The book also includes abstracts of the keynotes delivered by Professor Aida Kamišalić and Dr. Lluis Formiga. Providing a useful overview of some of the latest developments in artificial intelligence, the book will be of interest to all those working in the field. |
| artificial intelligence discussion questions: Managing Innovation in Organisations Vanessa Ratten, 2022-07-04 This book explores how organisations need to manage their innovation processes in order to compete in the global marketplace. Innovation is essential to the ongoing competitiveness of organisations but can be difficult to capture and disseminate. This book states that there needs to be guidelines about how to manage innovation in an organisational context. This includes focusing on different types of innovation from incremental to radical. This book will focus on ways to manage innovation from incorporating it into organisational practices to implementing it into beneficial partnerships. Each chapter in the book focuses on a different aspect of innovation from how to communicate ideas to commercialising innovation. |
| artificial intelligence discussion questions: Management Today Terri A. Scandura, Frankie J. Weinberg, 2024-01-09 Integrating core management concepts with evidence-based research and strategies, Management Today, Second Edition provides students of all backgrounds with the foundations they need to start and enhance their careers. Authors Terri A. Scandura and Frankie J. Weinberg share their experiences as active researchers and award-winning teachers throughout the book to engage and inspire the next generation of managers. Students can apply what they have learned through self-assessments, reflection exercises, and experiential activities. Real-world case studies explore business scenarios students may encounter throughout their own careers. Practical, concise, and founded upon cutting edge research, this text equips students with the necessary skills to become impactful members of today′s business world. This title is accompanied by a complete teaching and learning package. Contact your Sage representative to request a demo. Learning Platform / Courseware Sage Vantage is an intuitive learning platform that integrates quality Sage textbook content with assignable multimedia activities and auto-graded assessments to drive student engagement and ensure accountability. Unparalleled in its ease of use and built for dynamic teaching and learning, Vantage offers customizable LMS integration and best-in-class support. It′s a learning platform you, and your students, will actually love. Learn more. Assignable Video with Assessment Assignable video (available in Sage Vantage) is tied to learning objectives and curated exclusively for this text to bring concepts to life. Watch a sample video now. LMS Cartridge: Import this title′s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more. |
| artificial intelligence discussion questions: Creative Applications of Artificial Intelligence in Education Alex Urmeneta, |
| artificial intelligence discussion questions: Mergers, Acquisitions, and Other Restructuring Activities Donald DePamphilis, 2021-09-26 Mergers, Acquisitions, and Other Restructuring Activities: An Integrated Approach to Process, Tools, Cases, and Solutions, Eleventh Edition presents the most current and comprehensive M&A information available. Organized according to the context in which topics normally occur in the M&A process, the book covers M&A environments, M&A processes, M&A valuation and modeling, deal structuring and financing strategies, and alternative business and restructuring strategies. Covering industries worldwide, this new edition illustrates the most germane strategies and tactics in today's marketplace. It includes substantially more ancillary materials than previous editions, including an extensive test bank, chapter summaries, and instructor and student PowerPoint slides. More than 100 new references to relevant academic research published since 2018 make the 11th edition a balanced, comprehensive guide to the complex and dynamically changing world of M&A. - Provides a rigorous discussion on the strengths and limitations of financial modeling as applied to M&A - Includes more than 270 empirical studies published in leading peer-reviewed journals published 2018-2020, all new since the 10th edition (2019) - Presents updated M&A tactics and strategies as well as court cases and new regulations governing business combinations, valuation methodologies, and financing |
| artificial intelligence discussion questions: 80 Ways to Use ChatGPT in the Classroom Stan Skrabut, 2023-01-31 What is the impact of chatGPT on your classroom? Should you be concerned? Should you use it or not? In the book, 80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning, Dr. Stan Skrabut, an instructional technologist and designer, explores these topics and much more. He presents different ways to incorporate chatGPT into the classroom, including preparation for classes, providing instructional assistance, creating assessments, developing study aids, and using chatGPT for computer programming. The book also covers how students can use chatGPT for writing assistance, research, and personalized learning. Stan provides practical examples and suggestions to help educators fully utilize chatGPT's capabilities while addressing potential concerns and criticisms. The book aims to show that AI can enhance teaching and learning and encourages educators to embrace this technology in the classroom. See what the uproar is about! |
| artificial intelligence discussion questions: A Different Look at Artificial Intelligence Ulrike Barthelmeß, Ulrich Furbach, 2023-01-01 Digitalization is inexorably conquering our lives - also with artificial intelligence (AI) methods. Search engine operators, social network operators and shipping platform operators know more and more about us, about our buying and living habits. User data has become a valuable commodity. We live and work with computer systems that behave intelligently or are even intelligent. Questions like Can machines be intelligent? or Can they have emotions or a consciousness? keep popping up. To enable readers to form their own opinion on these questions, the authors clearly explain individual techniques or methods of AI and relate them to approaches from philosophy, art and neurobiology. Topics such as logical reasoning, knowledge and memory play just as important a role as machine learning and artificial neural networks. In the foreground is the question of what constitutes memory and thinking, what role our emotions play when we as humans move through life, through the world. A book that offers unusual perspectives on artificial intelligence. |
| artificial intelligence discussion questions: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky Ning Wang, Genaro Rebolledo-Mendez, Vania Dimitrova, Noboru Matsuda, Olga C. Santos, 2023-06-29 This volume constitutes poster papers and late breaking results presented during the 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023. The 65 poster papers presented were carefully reviewed and selected from 311 submissions. This set of posters was complemented with the other poster contributions submitted for the Poster and Late Breaking results track of the AIED 2023 conference. |
| artificial intelligence discussion questions: Linguistic Relativity Today Marcel Danesi, 2021-03-15 This is the first textbook on the linguistic relativity hypothesis, presenting it in user-friendly language, yet analyzing all its premises in systematic ways. The hypothesis claims that there is an intrinsic interconnection between thought, language, and society. All technical terms are explained and a glossary is provided at the back of the volume. The book looks at the history and different versions of the hypothesis over the centuries, including the research paradigms and critiques that it has generated. It also describes and analyzes the relevant research designed to test its validity in various domains of language structure and use, from grammar and discourse to artificial languages and in nonverbal semiotic systems as well. Overall, this book aims to present a comprehensive overview of the hypothesis and its supporting research in a textbook fashion, with pedagogical activities in each chapter, including questions for discussion and practical exercises on specific notions associated with the hypothesis. The book also discusses the hypothesis as a foundational notion for the establishment of linguistic anthropology as a major branch of linguistics. This essential course text inspires creative, informed dialogue and debate for students of anthropology,linguistics, cultural studies, cognitive science, and psychology. |
| artificial intelligence discussion questions: Cybersecurity Ethics Mary Manjikian, 2022-12-30 This textbook offers an accessible introduction to the topic of cybersecurity ethics. The second edition has been revised and updated, and contains new chapters on social justice, AI, and Big Data. The book is split into three parts. Part I provides an introduction to the field of ethics, philosophy, and philosophy of science, three ethical frameworks – virtue ethics, utilitarian ethics, and communitarian ethics – and the notion of ethical hacking. Part II applies these frameworks to particular issues within the field of cybersecurity, including privacy rights, surveillance, and intellectual property. The third part concludes by exploring current codes of ethics used in cybersecurity, with chapters on artificial intelligence, social diversity, Big Data, and cyberwarfare. The overall aims of the book are to: Provide ethical frameworks to aid decision-making Present the key ethical issues in relation to computer security Highlight the connection between values and beliefs and the professional code of ethics The textbook also includes three different features to aid students: Going Deeper features provide background on individuals, events, and institutions in cybersecurity; Critical Issues features contemporary case studies; and Tech Talks contain features that assume some familiarity with technological developments. The book will be of much interest to students of cybersecurity, cyberethics, hacking, surveillance studies, ethics, and information science. |
| artificial intelligence discussion questions: Non-axiomatic Logic Pei Wang, 2013 This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author''s research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the OC laws of thoughtOCO followed by the human mind. Different from OC mathematicalOCO logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an attempt to return to the original aim of logic, that is, to formulate the regularity in actual human thinking. To achieve this goal, the logic is designed under the assumption that the system has insufficient knowledge and resources with respect to the problems to be solved, so that the OC logical conclusionsOCO are only valid with respect to the available knowledge and resources. Reasoning processes according to this logic covers cognitive functions like learning, planning, decision making, problem solving, This book is written for researchers and students in Artificial Intelligence and Cognitive Science, and can be used as a textbook for courses at graduate level, or upper-level undergraduate, on Non-Axiomatic Logic. |
| artificial intelligence discussion questions: An Introduction to Ethics in Robotics and AI Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh, 2020-08-11 This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further. |
| artificial intelligence discussion questions: Digital Health Dipu Patel, 2024-10-21 Digital Health: Telemedicine and Beyond describes practical ways to use digital health tools in clinical practice. With a strong focus on case studies and patient outcomes, this title provides an overview of digital medicine, terms, concepts, and applications for the multidisciplinary clinical practitioner. Chapters provide a concise, yet comprehensive understanding of digital health, including telemedicine, mHealth, EHRs, and the benefits and challenges of each. The book gives insights on risks and benefits associated with storing and transmitting patient information via digital tools and educates clinicians in the correct questions to ask for advocacy regarding state laws, scope of practice, and medicolegal implications. It also addresses the ethical and social challenges that digital health raises, how to engage patients to improve shared decision-making models and how digital health tools can be integrated into clinical practice. This book is a valuable resource for clinicians and medical educators of all health professions, including physicians, physician associates, nurses, pharmacists, physical therapists, occupational therapists, speech therapists, students, and all those who wish to broaden their knowledge in the allied field. - Provides a clinical perspective on digital health - Written by clinicians for clinicians with the patient in mind - Describes practical ways to use digital health tools in clinical practice - Includes case studies to incorporate workflows into practice to improve patient outcomes |
| artificial intelligence discussion questions: The Economics of Artificial Intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb, Catherine Tucker, 2024-03-05 A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system. |
| artificial intelligence discussion questions: Creativity and Innovation in Entrepreneurship S S Khanka, 2021-08-03 Creativity and innovation as hallmarks of entrepreneurship have been recognized as the modern-day mantra for success in business and industry. It is with this realization, the Government of India, by announcing a number of policies and schemes, has been giving ever-increasing emphasis on developing creativity and innovation in entrepreneurship in the country. So much so, an increasing number of educational institutions in the country have started offering the paper on creativity and innovation in entrepreneurship in their course curricula. Because Creativity and Innovation in Entrepreneurship, as a subject, is relative of recent origin in India, there has so far not been any comprehensive textbook available on the subject in the Indian context. The present book is a modest attempt to fill in this gap. |
| artificial intelligence discussion questions: Leveraging Artificial Intelligence in Global Epidemics Le Gruenwald, Sarika Jain, Sven Groppe, 2021-07-28 Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. - Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies - Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data - Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing |
| artificial intelligence discussion questions: WIPO Technology Trends 2019 - Artificial Intelligence World Intellectual Property Organization, 2019-01-21 The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s. |
| artificial intelligence discussion questions: Introduction to Sports Journalism Matthew H. Zimmerman, Lauren M. Burch, Brian Moritz, 2024-09-12 Sports journalism has seen massive upheaval in recent years. Today’s 24/7 sports networks, streaming services, and social media platforms bring sports coverage and live events to consumers anytime, anywhere. But despite the increase in the number of media outlets and the speed by which news is delivered and consumed, the basic tenets of sports journalism remain, albeit with a few new wrinkles. Embracing this dynamic, Introduction to Sports Journalism provides students with the practical knowledge and tools to succeed in the evolving field of sports journalism. While other texts repeat the “sports journalism is changing” refrain, Introduction to Sports Journalism sheds light on how and why it’s changing. Through these discussions students are challenged to formulate their own perspectives on contemporary sports journalism, journalistic expression, and how these concepts fit in today’s evolving media and societal landscapes. The text begins with an overview and history of sports journalism and traditional media. Also discussed is the impact of today’s nontraditional journalists: the bloggers and videographers outside traditional media channels. The core of the text then focuses on developing practical skills required to work in the sports journalism field, including knowing how and what to write to craft compelling stories. Much attention is paid to analytics, what they are, their variations across sports, and how to interpret and use them effectively. Also featured are digital media (blogs, podcasts, and social media platforms) and the technological tools used to create content. Sports journalism and public relations often overlap, and the text explains the nuances of the respective functions. Public relations tools such as media guides and game notes are presented, as well as a section on crisis communication. The pressure to “break the story” can tempt even the best journalist to plagiarize or fabricate stories or skip fact checks. The text covers journalism ethics and provides best practices for avoiding traps. Racial and gender bias and the importance of providing equitable coverage are also discussed. Additionally, legal issues such as copyright, privacy, discrimination, defamation, reporter’s privilege, and first amendment rights are addressed. The book concludes with a discussion of career paths and challenges facing the industry. The landscape is changing and, in response, the authors provide career advice for students entering the field. In the chapters you’ll find Industry Profile sidebars featuring interviews and conversations with practicing sports journalists. Also included are Time-Out activities throughout the chapters and end-of-chapter discussion questions, applied activities, and practical exercises, all designed to engage students more fully with the content and apply learning to real-life situations. Introduction to Sports Journalism provides a comprehensive overview of contemporary sports journalism—spanning all media platforms and sport organizations—to prepare students for a dynamic career in sports journalism. |
| artificial intelligence discussion questions: An Introduction to Cyberpsychology Gráinne Kirwan, Irene Connolly, Hannah Barton, Marion Palmer, 2024-02-06 An Introduction to Cyberpsychology provides a comprehensive introduction to this rapidly growing discipline. Fully updated in its second edition, the book encourages students to critically evaluate the psychology of online interactions and to develop appropriate research methodologies to complete their own work in this field. The book examines cyberpsychology and online research methodologies, social psychology in an online context, practical applications of cyberpsychology, and the psychological aspects of other technologies. This new edition has been carefully updated to include additional coverage of: Expanded content relating to major developments in the field and new content on gaming and screentime A new chapter examining the relationship between older adults and technology Cyberpsychology in focus feature boxes in each chapter that examine topics in depth Interviews with professionals working in fields relating to cyberpsychology Each chapter includes key terms and a glossary, content summaries, discussion questions, and recommended reading to guide further study. Supported by extensive online resources for students and instructors, this authoritative book is an essential core text for undergraduate modules in cyberpsychology, and an ideal primer for students of postgraduate programs in cyberpsychology. To view the additional student and instructor resources for this book, please visit bpscoretextbooks.routledge.com |
Co-Intelligence: Living and Working with AI Discussion …
Co-Intelligence: Living and Working with AI Discussion Structure & Possible Questions You might begin: • By sharing one quotation from the book you thought was significant or provocative …
Microsoft Word - artificial-intelligence.doc - ESL Discussions
ARTIFICIAL INTELLIGENCE DISCUSSION STUDENT A’s QUESTIONS (Do not show these to student B) 1) What springs to mind when you hear the term ‘artificial intelligence'? 2) What is …
AI Lesson Plan - Colorado School of Mines
Artificial Intelligence is a growing and important field in Computer Science. While AI is a common buzzword, very few people stop to think about what AI actually is. This activity aims to get …
Success in creating AI would be the biggest event in human …
computer can be considered intelligent if a human cannot tell whether they are having a conversation with a computer program or another human being. • Three Laws of Robotics …
Academic Team Discussion Guide: Generative Artificial …
Discussion Questions • Have we explored any AI detection tools? If so, have we found them to be effective or ineffective? • What steps can we take to engage our students in discourse on the …
Important Questions - Amiraj College
Important Questions Chapter 1. What is AI? Define AI ? Explain the characteristics of AI problem. Discuss Turing test.
Artificial Other – Discussion Topics
How was Sputnik important to the history of AI? Why did AI funding shrink at the end of the Vietnam War? What was the AI Winter? What technologies represented the first commercial …
DISCUSSION GUIDE - Amazon Web Services
Educate viewers about the uses of AI for surveillance and automated decision making and discuss options for public oversight. Recognize women and people of color working in …
Artificial Intelligence Discussion Paper
As FDA considers the application of its risk-based regulatory framework to the use of AI technologies in drug manufacturing, the Agency has identified in this discussion paper areas …
Open Discussion on “Artificial Intelligence” - Part1
Artificial Intelligence (AI) Discussion Questions • What is Artificial Intelligence? Definition • A Brief History of AI Where it came from • Contrast “artificial” vs. “real” intelligence What is …
Artificial Intelligence Art Discussion Questions
Here are some discussion prompts to explore the topic of AI art: What is AI art, and how does it differ from traditional art forms? How can artists collaborate with AI algorithms to create or …
Artificial intelligence (AI) in decision making
Dec 11, 2019 · With the advancement of AI, questions surrounding the relevant ethics arise as to if, when, and how AI could/should be used. In this forum we’d like to start a discussion about …
Artificial Intelligence (AI) Design Assistant in Blackboard Learn …
When writing AI prompts, consider the following: Identify the Objective: Determine what you want AI to achieve. This could be creating an exam, generating discussion questions, creating a …
INTELLIGENCE DISCUSSION
1) What is intelligence? 2) What would you say about your intelligence? 3) What can you do to increase your intelligence? 4) Why are some people more intelligent than others? 5) Does …
Top 50 Artificial Intelligence Interview Questions & Answers
Top 50 Artificial Intelligence Interview Questions & Answers 1) What is Artificial Intelligence? Artificial Intelligence is an area of computer science that emphasizes the creation of intelligent …
DHAC Nov 20-21, 2024 Discussion Questions
These questions aim to understand the critical information and practices needed for a comprehensive approach to the management of risk throughout the TPLC for generative AI …
Questions for Artificial Intelligence in Health Care
What Are the Right Data for AI? the realm of health care innovation. Broadly defined, relation to outcomes. However, most clinical data, human capability. Proponents suggest, often enthusi …
Open Discussion on “Artificial Intelligence” - Part2
Artificial Intelligence (AI) Discussion Questions •What is Artificial Intelligence? Definition •A Brief History of AI Where it came from •Contrast “artificial” vs. “real” intelligence What is …
Use of Artificial Intelligence to Grade Student Discussion …
Following this section, the literature review will highlight both use of discussion boards and the specific use of AI in grading students. This will help to develop a theoretical model and …
Prepared by - Minister of Communications and Digital …
In November 202, the Department of Communications and Digital Technologies (DCDT) launched an Artificial Intelligence Institute of South Africa (AIISA) [www.aii-sa.co.za] to encourage the …
Co-Intelligence: Living and Working with AI Discussion …
Co-Intelligence: Living and Working with AI Discussion Structure & Possible Questions You might begin: • By sharing one quotation from the book you thought was significant or provocative and …
Microsoft Word - artificial-intelligence.doc - ESL Discussions
ARTIFICIAL INTELLIGENCE DISCUSSION STUDENT A’s QUESTIONS (Do not show these to student B) 1) What springs to mind when you hear the term ‘artificial intelligence'? 2) What is …
AI Lesson Plan - Colorado School of Mines
Artificial Intelligence is a growing and important field in Computer Science. While AI is a common buzzword, very few people stop to think about what AI actually is. This activity aims to get …
Success in creating AI would be the biggest event in human …
computer can be considered intelligent if a human cannot tell whether they are having a conversation with a computer program or another human being. • Three Laws of Robotics …
Academic Team Discussion Guide: Generative Artificial …
Discussion Questions • Have we explored any AI detection tools? If so, have we found them to be effective or ineffective? • What steps can we take to engage our students in discourse on the …
Important Questions - Amiraj College
Important Questions Chapter 1. What is AI? Define AI ? Explain the characteristics of AI problem. Discuss Turing test.
Artificial Other – Discussion Topics
How was Sputnik important to the history of AI? Why did AI funding shrink at the end of the Vietnam War? What was the AI Winter? What technologies represented the first commercial …
DISCUSSION GUIDE - Amazon Web Services
Educate viewers about the uses of AI for surveillance and automated decision making and discuss options for public oversight. Recognize women and people of color working in …
Artificial Intelligence Discussion Paper
As FDA considers the application of its risk-based regulatory framework to the use of AI technologies in drug manufacturing, the Agency has identified in this discussion paper areas …
Open Discussion on “Artificial Intelligence” - Part1
Artificial Intelligence (AI) Discussion Questions • What is Artificial Intelligence? Definition • A Brief History of AI Where it came from • Contrast “artificial” vs. “real” intelligence What is …
Artificial Intelligence Art Discussion Questions
Here are some discussion prompts to explore the topic of AI art: What is AI art, and how does it differ from traditional art forms? How can artists collaborate with AI algorithms to create or …
Artificial intelligence (AI) in decision making
Dec 11, 2019 · With the advancement of AI, questions surrounding the relevant ethics arise as to if, when, and how AI could/should be used. In this forum we’d like to start a discussion about …
Artificial Intelligence (AI) Design Assistant in Blackboard …
When writing AI prompts, consider the following: Identify the Objective: Determine what you want AI to achieve. This could be creating an exam, generating discussion questions, creating a …
INTELLIGENCE DISCUSSION
1) What is intelligence? 2) What would you say about your intelligence? 3) What can you do to increase your intelligence? 4) Why are some people more intelligent than others? 5) Does …
Top 50 Artificial Intelligence Interview Questions & Answers
Top 50 Artificial Intelligence Interview Questions & Answers 1) What is Artificial Intelligence? Artificial Intelligence is an area of computer science that emphasizes the creation of intelligent …
DHAC Nov 20-21, 2024 Discussion Questions
These questions aim to understand the critical information and practices needed for a comprehensive approach to the management of risk throughout the TPLC for generative AI …
Questions for Artificial Intelligence in Health Care
What Are the Right Data for AI? the realm of health care innovation. Broadly defined, relation to outcomes. However, most clinical data, human capability. Proponents suggest, often enthusi …
Open Discussion on “Artificial Intelligence” - Part2
Artificial Intelligence (AI) Discussion Questions •What is Artificial Intelligence? Definition •A Brief History of AI Where it came from •Contrast “artificial” vs. “real” intelligence What is …
Use of Artificial Intelligence to Grade Student Discussion …
Following this section, the literature review will highlight both use of discussion boards and the specific use of AI in grading students. This will help to develop a theoretical model and …
Prepared by - Minister of Communications and Digital …
In November 202, the Department of Communications and Digital Technologies (DCDT) launched an Artificial Intelligence Institute of South Africa (AIISA) [www.aii-sa.co.za] to encourage the …
