The Economics of Artificial Intelligence

This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes ...

The Economics of Artificial Intelligence

Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley

Artificial Intelligence in Economics and Managment

In the past decades several researchers have developed statistical models for the prediction of corporate bankruptcy, e. g. Altman (1968) and Bilderbeek (1983).

Artificial Intelligence in Economics and Managment

In the past decades several researchers have developed statistical models for the prediction of corporate bankruptcy, e. g. Altman (1968) and Bilderbeek (1983). A model for predicting corporate bankruptcy aims to describe the relation between bankruptcy and a number of explanatory financial ratios. These ratios can be calculated from the information contained in a company's annual report. The is to obtain a method for timely prediction of bankruptcy, a so ultimate purpose called "early warning" system. More recently, this subject has attracted the attention of researchers in the area of machine learning, e. g. Shaw and Gentry (1990), Fletcher and Goss (1993), and Tam and Kiang (1992). This research is usually directed at the comparison of machine learning methods, such as induction of classification trees and neural networks, with the "standard" statistical methods of linear discriminant analysis and logistic regression. In earlier research, Feelders et al. (1994) performed a similar comparative analysis. The methods used were linear discriminant analysis, decision trees and neural networks. We used a data set which contained 139 annual reports of Dutch industrial and trading companies. The experiments showed that the estimated prediction error of both the decision tree and neural network were below the estimated error of the linear discriminant. Thus it seems that we can gain by replacing the "traditionally" used linear discriminant by a more flexible classification method to predict corporate bankruptcy. The data set used in these experiments was very small however.

Artificial Intelligence and Economics the Key to the Future

This book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective.

Artificial Intelligence and Economics  the Key to the Future

This book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This consideration explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms. This book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include, economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion. Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics.

Artificial Intelligence Based Forecasting and Analytic Techniques for Environment and Economics Management

Edited by: Wendong Yang, Shandong University of Finance and Economics, China Reviewed by: Kevin Li, University of ... Specialty section: This article was submitted to Environmental Economics and Management, a section of the journal ...

Artificial Intelligence Based Forecasting and Analytic Techniques for Environment and Economics Management


Artificial Intelligence in Economics and Finance Theories

This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions.

Artificial Intelligence in Economics and Finance Theories

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

The Impact of Artificial Intelligence on Governance Economics and Finance Volume 2

Exploring the impact of artificial intelligence in the accounting professions. Journal of Research in Business, Economics and Management, 8(3). http://scitecresearch.com/ journals/index.php/jrbem/article/view/1063/746 Grigg, I. (2005).

The Impact of Artificial Intelligence on Governance  Economics and Finance  Volume 2

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. .

Economics and Law of Artificial Intelligence

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy.

Economics and Law of Artificial Intelligence

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them. .

Economics and Artificial Intelligence

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Economics and Artificial Intelligence

Economics and Artificial Intelligence documents the proceedings of the IFAC/IFORS/IFIP/IASC/AFCET Conference held in Aix-en-Provence, France on September 2-4, 1986. This book discusses the design of intelligent dialogue in D.S.S. qualitative modeling of economic studies; basic propositions for intelligent systems design methods; and expert systems for confirmatory data analysis. The artificial intelligence for transaction cost economizing; knowledge-based evaluation of strategic investments; and reasoning system for the guidance of technological transfer are also elaborated. This text likewise covers the A.I. impacts on the process of the division of labor; using automated techniques to generate expert systems for R&D project monitoring; and intelligent support to decision making process. This compilation is a good reference for students and researchers conducting work on the nature of economics and artificial intelligence.

On Rationality Artificial Intelligence And Economics

... and a Bachelor of Arts in Economics and Management from the Technion — Israel Institute of Technology. His research interests are multi-disciplinary, and they include Artificial Intelligence, Machine Learning, Economics, ...

On Rationality  Artificial Intelligence And Economics

The world we live in presents plenty of tricky, impactful, and hard-tomake decisions to be taken. Sometimes the available options are ample, at other times they are apparently binary, either way, they often confront us with dilemmas, paradoxes, and even denial of values.In the dawn of the age of intelligence, when robots are gradually taking over most decision-making from humans, this book sheds a bit of light on decision rationale. It delves into the limits of these decision processes (for both humans and machines), and it does so by providing a new perspective that is somehow opposed to orthodox economics. All Economics reflections in this book are underlined and linked to Artificial Intelligence.The authors hope that this comprehensive and modern analysis, firmly grounded in the opinions of various groundbreaking Nobel laureate economists, may be helpful to a broad audience interested in how decisions may lead us all to flourishing societies. That is, societies in which economic blunders (caused by over simplification of problems and super estimation of tools) are reduced substantially.

Management Organisations and Artificial Intelligence

He is the author or co-author of more than 170 publications in economics and management. His research interests focus on aspects related to the application of artificial intelligence and neuromanagement, risk management, internal audit, ...

Management  Organisations and Artificial Intelligence

This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors’ holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.

2021 International Conference on Applications and Techniques in Cyber Intelligence

Artificial Intelligence Technology in Enterprise Economic Management Tingting Li( B ) Department of Economics and Management, North China Electric Power University, Baoding, Hebei, China Abstract. The application and research of ...

2021 International Conference on Applications and Techniques in Cyber Intelligence

This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.

Advances in Artificial Intelligence in Economics Finance and Management

Part of a series on advances in artificial intelligence in economics, finance and management, this first volume discusses such topics as: artificial neural systems; the economic theory foundation for neural computing systems; and neural ...

Advances in Artificial Intelligence in Economics  Finance  and Management

Part of a series on advances in artificial intelligence in economics, finance and management, this first volume discusses such topics as: artificial neural systems; the economic theory foundation for neural computing systems; and neural network of managerial judgement; among other topics.

Digitalization of Society Economics and Management

In this unique scenario, data analytics, cloud storage, augmented reality, Internet of things, open data, machine learning, artificial intelligence are some of the main examples and fundamental players of our complex architecture.

Digitalization of Society  Economics and Management

This book gathers the best papers presented at the third conference held by the Russian chapter of the Association for Information Systems (AIS), which took place in December 2021. The book shows the path to digital transformation of organizations and how possible obstacles can be overcome. With contributions from digital experts in both academia and IT and management, it presents practical frameworks and planning tools for new business models. It offers executives at the forefront of strategic initiatives a guide on how to implement key disruptive technologies in their organizations while following an established digital strategy. Overall, the book is relevant for scientists, digital technology users, companies and public institutions.

Economics and Law of Artificial Intelligence

Finance, Economic Impacts, Risk Management and Governance Georgios I. Zekos. is not only the individuality of the projects but also the financial demandingness and a longer time period for realizing the projects.

Economics and Law of Artificial Intelligence

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them.

The Impact of Artificial Intelligence on Governance Economics and Finance Volume I

2020), the use of AI in management could also be assessed for its implications for social equality. At one extreme, it has been argued that automation takes humans “out of the loop”, “reducing human biases and, in turn, ...

The Impact of Artificial Intelligence on Governance  Economics and Finance  Volume I

The book discusses 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.

International Conference on Economics and Management Engineering ICEME2014

With the continuous development of computer technology, artificial intelligence technology, especially in the industrial application of expert systems is becoming more widespread. Now, the automation stereoscopic warehouse requirements, ...

International Conference on Economics and Management Engineering  ICEME2014

The 2014 International Conference on Economics and Management Engineering (ICEME2014) is held in Hangzhou, China from October 18–19, 2014. The conference aims to provide an excellent international academic forum for all the researchers, practitioner, students and teachers in related fields to share their knowledge and results in theory, methodology and application on economics, management science and management engineering. ICEME2014 features unique mixed topics of Economics, Management Science, Management Engineering and other related ones. ICEME2014 proceeding tends to collect the most up-to-date, comprehensive, and worldwide state-of-art knowledge on economics, management science and management engineering. All the accepted papers have been submitted to strict peer-review by 2–4 expert referees, and selected based on originality, significance and clarity for the purpose of the conference. The conference program is extremely rich, profound and featuring high-impact presentations of selected papers and additional late-breaking contributions. We sincerely hope that the conference would not only show the participants a broad overview of the latest research results on related fields, but also provide them with a significant platform for academic connection and exchange.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Notable classic machine learning methods (data science) applied in economics are support vector regression for anomaly ... These were used to explore portfolio management, algorithmic trading, socially responsible investment portfolios, ...

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Innovative Computing

Becker E, Buhse WN (2004) Digital economic management: technological, economic, and legal and political aspects (Lecture notes in computer ... 21: artificial intelligence in economics and management to requirements engineering 8.

Innovative Computing

This book comprises select proceedings of the 4th International Conference on Innovative Computing (IC 2021) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.

Machine Learning and Artificial Intelligence for Agricultural Economics

This book discusses machine learning and artificial intelligence (AI) for agricultural economics.

Machine Learning and Artificial Intelligence for Agricultural Economics

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

Political Economic and Legal Effects of Artificial Intelligence

Machine learning techniques for credit risk evaluation: A systematic literature review. ... Economics and law of artificial intelligence – Finance, economic impacts, risk management and governance. Springer. 13. Gellers, J. C. (2021).

Political  Economic and Legal Effects of Artificial Intelligence

This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of politics. It further examines the impact of artificial intelligence (AI) on the nexus between politics, economics, and law. The book raises and answers several important questions: What is the role of AI in politics? Are people prepared for the challenges presented by technical developments? How will Al affect future politics and human society? How can politics and law deal with Al's disruptive technologies? What impact will AI and technology have on law? How can efficient cooperation between human beings and AI be shaped? Can artificial intelligence automate public decision-making? Topics discussed in the book include, but are not limited to digital governance, public administration, digital economy, corruption, democracy and voting, legal singularity, separation of power, constitutional rights, GDPR in politics, AI personhood, digital politics, cyberspace sovereignty, cyberspace transactions, and human rights. This book is a must-read for scholars and students of political science, law, and economics, as well as policy-makers and practitioners, interested in a better understanding of political, legal, and economic aspects and issues of AI.