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| assessing the economic impact of artificial intelligence: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 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 |
| assessing the economic impact of artificial intelligence: Artificial Intelligence Jacob Parakilas, Hannah Bryce, Kenneth Cukier, Heather Roff, Missy Cummings, 2018 The rise of AI must be better managed in the near term in order to mitigate longer term risks and to ensure that AI does not reinforce existing inequalities--Publisher. |
| assessing the economic impact of artificial intelligence: 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. |
| assessing the economic impact of artificial intelligence: Information Technology and the U.S. Workforce National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Information Technology, Automation, and the U.S. Workforce, 2017-04-18 Recent years have yielded significant advances in computing and communication technologies, with profound impacts on society. Technology is transforming the way we work, play, and interact with others. From these technological capabilities, new industries, organizational forms, and business models are emerging. Technological advances can create enormous economic and other benefits, but can also lead to significant changes for workers. IT and automation can change the way work is conducted, by augmenting or replacing workers in specific tasks. This can shift the demand for some types of human labor, eliminating some jobs and creating new ones. Information Technology and the U.S. Workforce explores the interactions between technological, economic, and societal trends and identifies possible near-term developments for work. This report emphasizes the need to understand and track these trends and develop strategies to inform, prepare for, and respond to changes in the labor market. It offers evaluations of what is known, notes open questions to be addressed, and identifies promising research pathways moving forward. |
| assessing the economic impact of artificial intelligence: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| assessing the economic impact of artificial intelligence: Artificial Intelligence in Healthcare Lalit Garg, Sebastian Basterrech, Chitresh Banerjee, Tarun K. Sharma, 2021-10-29 This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems. |
| assessing the economic impact of artificial intelligence: Artificial Intelligence in Society OECD, 2019-06-11 The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises. |
| assessing the economic impact of artificial intelligence: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| assessing the economic impact of artificial intelligence: Understanding the impact of artificial intelligence on skills development UNESCO International Centre for Technical and Vocational Education and Training, 2021-04-02 |
| assessing the economic impact of artificial intelligence: Scientific and Technical Revolution: Yesterday, Today and Tomorrow Elena G. Popkova, Bruno S. Sergi, 2020-06-05 This book presents a system view of the digital scientific and technological revolution, including its genesis and prerequisites, current trends, as well as current and potential issues and future prospects. It gathers selected research papers presented at the 12th International Scientific and Practical Conference, organized by the Institute of Scientific Communications. The conference “Artificial Intelligence: Anthropogenic Nature vs. Social Origin” took place on December 5–7, 2019 in Krasnoyarsk, Russia. The book is intended for academic researchers and independent experts studying the social and human aspects of the Fourth Industrial Revolution and the associated transition to the digital economy and Industry 4.0, as well as the creators of the legal framework for this process and its participants – entrepreneurs, managers, employees and consumers. It covers a variety of topics, including “intelligent” technologies and artificial intelligence, the digital economy, the social environment of the Fourth Industrial Revolution and its consequences for humans, the regulatory framework of the Fourth Industrial Revolution, and the “green” consequences, prospects and financing of the Fourth Industrial Revolution. |
| assessing the economic impact of artificial intelligence: The Economics and Implications of Data Mr.Yan Carriere-Swallow, Mr.Vikram Haksar, 2019-09-23 This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks. |
| assessing the economic impact of artificial intelligence: Artificial Intelligence and International Economic Law Shin-yi Peng, Ching-Fu Lin, Thomas Streinz, 2021-10-14 Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume examines the dynamic interplay between AI and IEL by addressing an array of critical new questions, including: How to conceptualize, categorize, and analyze AI for purposes of IEL? How is AI affecting established concepts and rubrics of IEL? Is there a need to reconfigure IEL, and if so, how? Contributors also respond to other cross-cutting issues, including digital inequality, data protection, algorithms and ethics, the regulation of AI-use cases (autonomous vehicles), and systemic shifts in e-commerce (digital trade) and industrial production (fourth industrial revolution). This title is also available as Open Access on Cambridge Core. |
| assessing the economic impact of artificial intelligence: Preparing for the Future of Artificial Intelligence Committee on Technology National Science and Technology Council, Committee on Technology, 2016-10-30 Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors. |
| assessing the economic impact of artificial intelligence: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed] |
| assessing the economic impact of artificial intelligence: Perspectives on Digital Humanism Hannes Werthner, Erich Prem, Edward A. Lee, Carlo Ghezzi, 2021-11-23 This open access book aims to set an agenda for research and action in the field of Digital Humanism through short essays written by selected thinkers from a variety of disciplines, including computer science, philosophy, education, law, economics, history, anthropology, political science, and sociology. This initiative emerged from the Vienna Manifesto on Digital Humanism and the associated lecture series. Digital Humanism deals with the complex relationships between people and machines in digital times. It acknowledges the potential of information technology. At the same time, it points to societal threats such as privacy violations and ethical concerns around artificial intelligence, automation and loss of jobs, ongoing monopolization on the Web, and sovereignty. Digital Humanism aims to address these topics with a sense of urgency but with a constructive mindset. The book argues for a Digital Humanism that analyses and, most importantly, influences the complex interplay of technology and humankind toward a better society and life while fully respecting universal human rights. It is a call to shaping technologies in accordance with human values and needs. |
| assessing the economic impact of artificial intelligence: Global Trends 2040 National Intelligence Council, 2021-03 The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come. -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading. |
| assessing the economic impact of artificial intelligence: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| assessing the economic impact of artificial intelligence: The ONS Productivity Handbook: A Statistical Overview and Guide NA NA, Great Britain. Office for National Statistics, 2007-07-16 ONS Productivity Handbook: a Statistical Overview and Guide examines the importance and relevance of economic productivity and serves as a reference on the subject. Areas covered include productivity analysis within various sectors and at firm level as well as measures of labour and capital inputs. |
| assessing the economic impact of artificial intelligence: The Feeling Economy Roland T. Rust, Ming-Hui Huang, 2021-01-19 As machines are trained to “think,” many tasks that previously required human intelligence are becoming automated through artificial intelligence. However, it is more difficult to automate emotional intelligence, and this is where the human worker’s competitive advantage over machines currently lies. This book explores the impact of AI on everyday life, looking into workers’ adaptation to these changes, the ways in which managers can change the nature of jobs in light of AI developments, and the potential for humans and AI to continue working together. The book argues that AI is rapidly assuming a larger share of thinking tasks, leaving human intelligence to focus on feeling. The result is the “Feeling Economy,” in which both employees and consumers emphasize feeling to an unprecedented extent, with thinking tasks largely delegated to AI. The book shows both theoretical and empirical evidence that this shift is well underway. Further, it explores the effect of the Feeling Economy on our everyday lives in the areas such as shopping, politics, and education. Specifically, it argues that in this new economy, through empathy and people skills, women may gain an unprecedented degree of power and influence. This book will appeal to readers across disciplines interested in understanding the impact of AI on business and our daily lives. It represents a bold, potentially controversial attempt to gauge the direction in which society is heading. |
| assessing the economic impact of artificial intelligence: OECD Principles of Corporate Governance OECD, 1999-10-06 These principles of corporate governance, endorsed by the OECD Council at Ministerial level in 1999, provide guidelines and standards to insure inclusion, accountability and abilit to attract capital. |
| assessing the economic impact of artificial intelligence: OECD Digital Education Outlook 2021 Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots OECD, 2021-06-08 How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. |
| assessing the economic impact of artificial intelligence: Empirical Asset Pricing Wayne Ferson, 2019-03-12 An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals. |
| assessing the economic impact of artificial intelligence: The effects of AI on the working lives of women Collett, Clementine, Gomes, Livia Gouvea, Inter-American Development Bank, Neff, Gina, Organisation for Economic Co-operation and Development, UNESCO, 2022-03-08 The development and use of Artificial Intelligence (AI) continue to expand opportunities for the achievement of the 17 United Nations Sustainable Development Goals (SDGs), including gender equality. Taking a closer look at the intersection of gender and technology, this collaboration between UNESCO, the Inter-American Development Bank (IDB) and the Organisation for Economic Co-operation and Development (OECD) examines the effects of AI on the working lives of women. This report describes the challenges and opportunities presented by the use of emerging technology such as AI from a gender perspective. The report highlights the need for more focus and research on the impacts of AI on women and the digital gender gap, in order to ensure that women are not left behind in the future of work. |
| assessing the economic impact of artificial intelligence: Measuring the Digital Transformation A Roadmap for the Future OECD, 2019-03-11 Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives. |
| assessing the economic impact of artificial intelligence: Humans Need Not Apply Jerry Kaplan, 2015-08-04 An “intriguing, insightful” look at how algorithms and robots could lead to social unrest—and how to avoid it (The Economist, Books of the Year). After decades of effort, researchers are finally cracking the code on artificial intelligence. Society stands on the cusp of unprecedented change, driven by advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure—but as AI expert and Silicon Valley entrepreneur Jerry Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. In Humans Need Not Apply, he proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promises and perils of AI is a must-read for business leaders and policy makers on both sides of the aisle. “A reminder that AI systems don’t need red laser eyes to be dangerous.”—Times Higher Education Supplement “Kaplan…sidesteps the usual arguments of techno-optimism and dystopia, preferring to go for pragmatic solutions to a shrinking pool of jobs.”—Financial Times |
| assessing the economic impact of artificial intelligence: Artificial Intelligence Needs Assessment Survey in Africa Neupane, Bhanu, Sibal, Prateek, UNESCO, 2021-01-22 |
| assessing the economic impact of artificial intelligence: Economics for the Common Good Jean Tirole, 2019-05-14 When Jean Tirole won the 2014 Nobel Prize in Economics, he suddenly found himself being stopped in the street by complete strangers and asked to comment on issues of the day, no matter how distant from his own areas of research. His transformation from academic economist to public intellectual prompted him to reflect further on the role economists and their discipline play in society. The result is Economics for the Common Good, a passionate manifesto for a world in which economics, far from being a 'dismal science,' is a positive force for the common good. Economists are rewarded for writing technical papers in scholarly journals, not joining in public debates. But Tirole says we urgently need economists to engage with the many challenges facing society, helping to identify our key objectives and the tools needed to meet them. To show how economics can help us realize the common good, Tirole shares his insights on a broad array of questions affecting our everyday lives and the future of our society, including global warming, unemployment, the post-2008 global financial order, the euro crisis, the digital revolution, innovation, and the proper balance between the free market and regulation. Providing a rich account of how economics can benefit everyone, Economics for the Common Good sets a new agenda for the role of economics in society--Provided by publisher. |
| assessing the economic impact of artificial intelligence: Assessing the Economic Impacts of Environmental Policies Evidence from a Decade of OECD Research OECD, 2021-05-17 Over the past decades, governments have gradually adopted more rigorous environmental policies to tackle challenges associated with pressing environmental issues, such as climate change. The ambition of these policies is, however, often tempered by their perceived negative effects on the economy. |
| assessing the economic impact of artificial intelligence: Information Technology Innovation National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Panel on Artificial Intelligence, Committee on Depicting Innovation in Information Technology, 2020-11-30 Information technology (IT) is widely understood to be the enabling technology of the 21st century. IT has transformed, and continues to transform, all aspects of our lives: commerce and finance, education, energy, health care, manufacturing, government, national security, transportation, communications, entertainment, science, and engineering. IT and its impact on the U.S. economyâ€both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)â€continue to grow in size and importance. IT’s impacts on the U.S. economyâ€both directly (the IT sector itself) and indirectly (other sectors that are powered by advances in IT)â€continue to grow. IT enabled innovation and advances in IT products and services draw on a deep tradition of research and rely on sustained investment and a uniquely strong partnership in the United States among government, industry, and universities. Past returns on federal investments in IT research have been extraordinary for both U.S. society and the U.S. economy. This IT innovation ecosystem fuels a virtuous cycle of innovation with growing economic impact. Building on previous National Academies work, this report describes key features of the IT research ecosystem that fuel IT innovation and foster widespread and longstanding impact across the U.S. economy. In addition to presenting established computing research areas and industry sectors, it also considers emerging candidates in both categories. |
| assessing the economic impact of artificial intelligence: Negotiating for Success: Essential Strategies and Skills George J. Siedel, 2014-10-04 We all negotiate on a daily basis. We negotiate with our spouses, children, parents, and friends. We negotiate when we rent an apartment, buy a car, purchase a house, and apply for a job. Your ability to negotiate might even be the most important factor in your career advancement. Negotiation is also the key to business success. No organization can survive without contracts that produce profits. At a strategic level, businesses are concerned with value creation and achieving competitive advantage. But the success of high-level business strategies depends on contracts made with suppliers, customers, and other stakeholders. Contracting capability—the ability to negotiate and perform successful contracts—is the most important function in any organization. This book is designed to help you achieve success in your personal negotiations and in your business transactions. The book is unique in two ways. First, the book not only covers negotiation concepts, but also provides practical actions you can take in future negotiations. This includes a Negotiation Planning Checklist and a completed example of the checklist for your use in future negotiations. The book also includes (1) a tool you can use to assess your negotiation style; (2) examples of “decision trees,” which are useful in calculating your alternatives if your negotiation is unsuccessful; (3) a three-part strategy for increasing your power during negotiations; (4) a practical plan for analyzing your negotiations based on your reservation price, stretch goal, most-likely target, and zone of potential agreement; (5) clear guidelines on ethical standards that apply to negotiations; (6) factors to consider when deciding whether you should negotiate through an agent; (7) psychological tools you can use in negotiations—and traps to avoid when the other side uses them; (8) key elements of contract law that arise during negotiations; and (9) a checklist of factors to use when you evaluate your performance as a negotiator. Second, the book is unique in its holistic approach to the negotiation process. Other books often focus narrowly either on negotiation or on contract law. Furthermore, the books on negotiation tend to focus on what happens at the bargaining table without addressing the performance of an agreement. These books make the mistaken assumption that success is determined by evaluating the negotiation rather than evaluating performance of the agreement. Similarly, the books on contract law tend to focus on the legal requirements for a contract to be valid, thus giving short shrift to the negotiation process that precedes the contract and to the performance that follows. In the real world, the contracting process is not divided into independent phases. What happens during a negotiation has a profound impact on the contract and on the performance that follows. The contract’s legal content should reflect the realities of what happened at the bargaining table and the performance that is to follow. This book, in contrast to others, covers the entire negotiation process in chronological order beginning with your decision to negotiate and continuing through the evaluation of your performance as a negotiator. A business executive in one of the negotiation seminars the author teaches as a University of Michigan professor summarized negotiation as follows: “Life is negotiation!” No one ever stated it better. As a mother with young children and as a company leader, the executive realized that negotiations are pervasive in our personal and business lives. With its emphasis on practical action, and with its chronological, holistic approach, this book provides a roadmap you can use when navigating through your life as a negotiator. |
| assessing the economic impact of artificial intelligence: Analytics in Healthcare Christo El Morr, Hossam Ali-Hassan, 2019-01-21 This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field. |
| assessing the economic impact of artificial intelligence: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| assessing the economic impact of artificial intelligence: Artificial Intelligence (AI). An Approach to Assess the Impact on the Information Economy Henry Alexander Wittke, 2019-11-21 Research Paper (postgraduate) from the year 2019 in the subject Business economics - Economic Policy, grade: 1,0, Helmut Schmidt University - University of the Federal Armed Forces Hamburg, language: English, abstract: An ongoing and seemingly unstoppable digital transformation brings about new options, opportunities but also challenges to individuals, organizations, companies and societies alike. In the wake of exponentially rising data, also the field of AI is developing significantly. Recent breakthroughs in the field of deep learning algorithms or neural networks as a part of machine learning, increase AI's potential to disrupt the world's largest industries. Governments are alarmed, seeing the potential consequences on the work-force and thus societal change while also being seemingly helpless against uncontrollable and powerful digital players such as Google or Facebook. They are increasingly penetrating the so-called real economic sectors, also using more and more AI-applications and transforming the rules and fabric how actors engage in socio-economic relationships. From a scientific perspective consensus or clear-cut definitions what might constitute AI precisely as a base for a conceptual framework is missing. Further, only little research has been conducted. This paper attempts to provide a basic framework using concepts of weak and strong AI and thus to make a small contribution to the initial research available today. The concept of the Information Economy as the economic dimension of the information society shall form the generic base of the methodological approach. Further, it can be adjusted to the purpose of this investigation and enriched by the notion of AI. To then attempt to estimate the impact of AI on economies, we use segmentation of economies in the information society age. These segments shall be used as research objects. Based on the analysis of AI's effects on labor and employment, different questions shall be raised and conceivable sce |
| assessing the economic impact of artificial intelligence: OECD Sovereign Borrowing Outlook 2021 OECD, 2021-05-20 This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area. |
| assessing the economic impact of artificial intelligence: Raising the Floor Andy Stern, 2016-06-14 Raising the Floor confronts America's biggest economic challenge-the fundamental restructuring of the economy and the emerging disruptive technology that threaten secure jobs and income. Andy Stern convincingly shows why it is time to consider a universal basic income as the nation's twenty-first-century solution to increasing inequality. In 2010, troubled by watching families chase the now-elusive American Dream, Andy Stern began a five-year journey to investigate how technology will impact jobs and the future of work. Stern, formerly the head of the nation's most influential and fastest-growing union, the Service Employees International Union, investigated these issues with a wide range of CEOs, futurists, economists, workers, entrepreneurs, and investment bankers who are shaping the future. The sobering assessment that emerged from his research-across the political spectrum, from libertarians at the CATO Institute to the leaders of the progressive left-is that this time is different: there will be meager benefits that come with full-time work and fewer good jobs overall. Facing such a challenging moment, Stern's solution is fittingly bold: to establish a universal basic income by eliminating many current government programs and adding new resources. At once vivid, provocative, and pragmatic, Raising the Floor will spark a national conversation about creating the new American Dream. |
| assessing the economic impact of artificial intelligence: Transforming the Workforce for Children Birth Through Age 8 National Research Council, Institute of Medicine, Board on Children, Youth, and Families, Committee on the Science of Children Birth to Age 8: Deepening and Broadening the Foundation for Success, 2015-07-23 Children are already learning at birth, and they develop and learn at a rapid pace in their early years. This provides a critical foundation for lifelong progress, and the adults who provide for the care and the education of young children bear a great responsibility for their health, development, and learning. Despite the fact that they share the same objective - to nurture young children and secure their future success - the various practitioners who contribute to the care and the education of children from birth through age 8 are not acknowledged as a workforce unified by the common knowledge and competencies needed to do their jobs well. Transforming the Workforce for Children Birth Through Age 8 explores the science of child development, particularly looking at implications for the professionals who work with children. This report examines the current capacities and practices of the workforce, the settings in which they work, the policies and infrastructure that set qualifications and provide professional learning, and the government agencies and other funders who support and oversee these systems. This book then makes recommendations to improve the quality of professional practice and the practice environment for care and education professionals. These detailed recommendations create a blueprint for action that builds on a unifying foundation of child development and early learning, shared knowledge and competencies for care and education professionals, and principles for effective professional learning. Young children thrive and learn best when they have secure, positive relationships with adults who are knowledgeable about how to support their development and learning and are responsive to their individual progress. Transforming the Workforce for Children Birth Through Age 8 offers guidance on system changes to improve the quality of professional practice, specific actions to improve professional learning systems and workforce development, and research to continue to build the knowledge base in ways that will directly advance and inform future actions. The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children. |
| assessing the economic impact of artificial intelligence: Human Genetics and Genomics Bruce R. Korf, Mira B. Irons, 2012-11-19 This fourth edition of the best-selling textbook, Human Genetics and Genomics, clearly explains the key principles needed by medical and health sciences students, from the basis of molecular genetics, to clinical applications used in the treatment of both rare and common conditions. A newly expanded Part 1, Basic Principles of Human Genetics, focuses on introducing the reader to key concepts such as Mendelian principles, DNA replication and gene expression. Part 2, Genetics and Genomics in Medical Practice, uses case scenarios to help you engage with current genetic practice. Now featuring full-color diagrams, Human Genetics and Genomics has been rigorously updated to reflect today’s genetics teaching, and includes updated discussion of genetic risk assessment, “single gene” disorders and therapeutics. Key learning features include: Clinical snapshots to help relate science to practice 'Hot topics' boxes that focus on the latest developments in testing, assessment and treatment 'Ethical issues' boxes to prompt further thought and discussion on the implications of genetic developments 'Sources of information' boxes to assist with the practicalities of clinical research and information provision Self-assessment review questions in each chapter Accompanied by the Wiley E-Text digital edition (included in the price of the book), Human Genetics and Genomics is also fully supported by a suite of online resources at www.korfgenetics.com, including: Factsheets on 100 genetic disorders, ideal for study and exam preparation Interactive Multiple Choice Questions (MCQs) with feedback on all answers Links to online resources for further study Figures from the book available as PowerPoint slides, ideal for teaching purposes The perfect companion to the genetics component of both problem-based learning and integrated medical courses, Human Genetics and Genomics presents the ideal balance between the bio-molecular basis of genetics and clinical cases, and provides an invaluable overview for anyone wishing to engage with this fast-moving discipline. |
| assessing the economic impact of artificial intelligence: Education and Technological Unemployment Michael A. Peters, Petar Jandrić, Alexander J. Means, 2019-04-29 This book examines the challenge of accelerating automation, and argues that countering and adapting to this challenge requires new methodological, philosophical, scientific, sociological, economic, ethical, and political perspectives that fundamentally rethink the categories of work and education. What is required is political will and social vision to respond to the question: What is the role of education in a digital age characterized by potential mass technological unemployment? Today’s technologies are beginning to cost more jobs than they create – and this trend will continue. There have been many proposed solutions to this problem, and they invariably involve an educational vision. Yet, in a world that simply doesn’t offer enough work for everyone, education is clearly not a panacea for technological unemployment. This collection presents responses to this question from a wide spectrum of disciplines, including but not limited to education studies, philosophy, history, politics, sociology, psychology, and economics. |
| assessing the economic impact of artificial intelligence: Work in the Digital Age Max Neufeind, Jacqueline O'Reilly, Florian Ranft, 2018 This book sets out to explore the emerging consequences of the so called '4th Industrial Revolution for the organisation of work and welfare. |
| assessing the economic impact of artificial intelligence: Artificial Intelligence in Accounting and Auditing Mariarita Pierotti, |
assessing 是什么意思_assessing 的翻译_音标_读音_用法_例句_爱词 …
爱词霸权威在线词典,为您提供assessing 的中文意思,assessing 的用法讲解,assessing 的读音,assessing 的同义词,assessing 的反义词,assessing 的例句等英语服务。
assess是什么意思_assess的翻译_音标_读音_用法_例句_爱词霸在线 …
Our correspondent has been assessing the impact of the sanctions... 我们的记者一直在评估制裁带来的影响。 柯林斯高阶英语词典
assessment是什么意思_assessment的翻译_音标_读音_用法_例句_ …
4. the act of judging or assessing a person or situation or event; "they criticized my judgment of the contestants"
criterion是什么意思_criterion的翻译_音标_读音_用法_例句_爱词霸 …
What criteria are used for assessing a student's ability? 用什么标准来评定一个学生的能力？ 牛津词典
impact是什么意思_impact的翻译_音标_读音_用法_例句_爱词霸在 …
shock, impact, collision, clash. 这些名词均含"冲击，碰撞"之意。 shock ： 指强烈冲击在肉体上或思想感情上所产生的效果。; impact ： 正式用词，侧重指物体相撞的结果或接触点。; collision …
judgement是什么意思_judgement的翻译_音标_读音_用法_例句_爱 …
7. the act of judging or assessing a person or situation or event; "they criticized my judgment of the contestants"
establish是什么意思_establish的翻译_音标_读音_用法_例句_爱词霸 …
build, construct, found, erect, establish, set up. 这些动词均有"建设，建立，建造"之意。 build ： 普通用词，含义广泛，可指一切具体或抽象的建造或建立。; construct ： 较正式用词，强调根 …
assessing 是什么意思_assessing 的翻译_音标_读音_用法_例句_爱词 …
爱词霸权威在线词典,为您提供assessing 的中文意思,assessing 的用法讲解,assessing 的读音,assessing 的同义词,assessing 的反义词,assessing 的例句等英语服务。
assess是什么意思_assess的翻译_音标_读音_用法_例句_爱词霸在线 …
Our correspondent has been assessing the impact of the sanctions... 我们的记者一直在评估制裁带来的影响。 柯林斯高阶英语词典
assessment是什么意思_assessment的翻译_音标_读音_用法_例句_ …
4. the act of judging or assessing a person or situation or event; "they criticized my judgment of the contestants"
criterion是什么意思_criterion的翻译_音标_读音_用法_例句_爱词霸 …
What criteria are used for assessing a student's ability? 用什么标准来评定一个学生的能力？ 牛津词典
impact是什么意思_impact的翻译_音标_读音_用法_例句_爱词霸在 …
shock, impact, collision, clash. 这些名词均含"冲击，碰撞"之意。 shock ： 指强烈冲击在肉体上或思想感情上所产生的效果。; impact ： 正式用词，侧重指物体相撞的结果或接触点。; collision …
judgement是什么意思_judgement的翻译_音标_读音_用法_例句_爱 …
7. the act of judging or assessing a person or situation or event; "they criticized my judgment of the contestants"
establish是什么意思_establish的翻译_音标_读音_用法_例句_爱词霸 …
build, construct, found, erect, establish, set up. 这些动词均有"建设，建立，建造"之意。 build ： 普通用词，含义广泛，可指一切具体或抽象的建造或建立。; construct ： 较正式用词，强调根 …
