This book is updated annually to provide the most up-to-date exam preparation available and will fit easily into your schoolbag.

This book continues the discussion of the effects of artificial intelligence in terms of economics and finance. In particular, the book focuses on the effects of the change in the structure of financial markets, institutions and central banks, along with digitalization analyzed based on fintech ecosystems. In addition to finance sectors, other sectors, such as health, logistics, and industry 4.0, all of which are undergoing an artificial intelligence induced rapid transformation, are addressed in this book. Readers will receive an understanding of an integrated approach towards the use of artificial intelligence across various industries and disciplines with a vision to address the strategic issues and priorities in the dynamic business environment in order to facilitate decision-making processes. Economists, board members of central banks, bankers, financial analysts, regulatory authorities, accounting and finance professionals, chief executive officers, chief audit officers and chief financial officers, chief financial officers, as well as business and management academic researchers, will benefit from reading this book.

This timely book affirms that humans can flourish in the Age of AI by relying on their distinctive strengths, and explores the skills and knowledge that are required to interact effectively, efficiently, and responsibly with AIs, both today and in the future. In Part I, this book develops the "Cognitive Amplifier Loop," which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking, creative problem solving, and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships, addressing emotional intelligence, effective communication, leadership, followership, and collaboration skills. Finally, Part III builds on previous chapters to consider how to interact with AIs to help each of us learn and grow. Throughout the book, Kosslyn provides practical strategies and AI-assisted exercises to help readers develop these essential skills and knowledge. Kosslyn argues that by cultivating distinctively human capabilities, we can not only coexist with AI but flourish in an AI-infused world. This book is a must-read for anyone involved with AI, education, or Learning and Development in industry. It will also appeal to anyone studying thinking and decision making, AI and psychology, and the use of technology in the classroom.

Antiracist Research on K-12 Education and Teacher Preparation: Policy Making, Pedagogy, Curriculum, and Practices provides current research on anti-racist education in teacher education and K-12 education. This book intends to engage teachers and educators in general to discuss diversity topics such as racism and how to react in the larger picture of teaching in K-12 and in higher education with a focus on teacher preparation.

Human history has always been shaped by technology, but AI is like no technology that has come before it. Unlike the wheel, combustion engines, or electricity, AI does the thing that humans do best: think. While AI hasn’t reproduced the marvelously complex human brain, it has been able to accomplish astonishing things. AI has defeated our players at games like chess, Go, and Jeopardy!. It’s learned to recognize objects and speech. It can create art and music. It’s even allowed grieving people to feel as though they were talking with their dead loved ones. On the flip side, it’s put innocent people in jail, manipulated the emotions of social media users, and tricked people into believing untrue things. In this non-fiction book for teens, acclaimed author and teacher Martha Brockenbrough guides readers through the development of this world-changing technology, exploring how AI has touched every corner of our world, including education, healthcare, work, politics, war, international relations, and even romance. This is essential reading for anyone who wants to understand how artificial intelligence got here, how to make the best use of it, and how we can expect it to transform our lives.

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

Information technology has permeated all walks of life in the past two decades. Accounting is no exception. Be it financial accounting, management accounting, or audit, information technology and systems have simplified daily tasks and routine work, simplified reporting, and changed how accounting is done. The Routledge Companion to Accounting Information Systems provides a prestige reference work which offers students and researchers an introduction to current and emerging scholarship in the discipline. Contributions from an international cast of authors provides a balanced view of both the technical underpinnings and organisational consequences of accounting information systems. With a focus on the business consequences of technology, this unique reference book will be a vital resource for students and researchers involved in accounting and information management.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data