The Nexus between Artificial Intelligence and Economics

The Nexus between Artificial Intelligence and Economics
Author: Ad J. W. van de Gevel,Charles N. Noussair
Publsiher: Springer Science & Business Media
Total Pages: 115
Release: 2013-04-15
Genre: Business & Economics
ISBN: 9783642336485

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The manuscript reviews some key ideas about artificial intelligence, and relates them to economics. These include its relation to robotics, and the concepts of synthetic emotions, consciousness, and life. The economic implications of the advent of artificial intelligence, such as its effect on prices and wages, appropriate patent policy, and the possibility of accelerating productivity, are discussed. The growing field of artificial economics and the use of artificial agents in experimental economics is considered.​

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence
Author: Ajay Agrawal,Joshua Gans,Avi Goldfarb
Publsiher: University of Chicago Press
Total Pages: 642
Release: 2019-05-22
Genre: Business & Economics
ISBN: 9780226613338

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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

The Big Data Driven Digital Economy Artificial and Computational Intelligence

The Big Data Driven Digital Economy  Artificial and Computational Intelligence
Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
Publsiher: Springer Nature
Total Pages: 472
Release: 2021-05-28
Genre: Computers
ISBN: 9783030730574

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This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

Political Economic and Legal Effects of Artificial Intelligence

Political  Economic and Legal Effects of Artificial Intelligence
Author: Georgios I. Zekos
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9783030947361

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Artificial Intelligence in Economics and Finance Theories

Artificial Intelligence in Economics and Finance Theories
Author: Tankiso Moloi,Tshilidzi Marwala
Publsiher: Springer Nature
Total Pages: 125
Release: 2020-05-07
Genre: Computers
ISBN: 9783030429621

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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.

Artificial Intelligence and International Economic Law

Artificial Intelligence and International Economic Law
Author: Shin-yi Peng,Ching-Fu Lin,Thomas Streinz
Publsiher: Cambridge University Press
Total Pages: 320
Release: 2021-09-30
Genre: Computers
ISBN: 9781108844932

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Examines the interplay between artificial intelligence and international economic law, and its effects on global economic order. This title is also available as Open Access.

Innovation Policy and the Economy

Innovation Policy and the Economy
Author: National Bureau of Economic Research
Publsiher: MIT Press
Total Pages: 187
Release: 2004
Genre: Political Science
ISBN: 0262600609

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Leading economists discuss how economic policy can stimulate technological innovation.

Economics and Law of Artificial Intelligence

Economics and Law of Artificial Intelligence
Author: Georgios I. Zekos
Publsiher: Springer Nature
Total Pages: 543
Release: 2021-01-11
Genre: Law
ISBN: 9783030642549

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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.

Is Law Computable

Is Law Computable
Author: Simon Deakin,Christopher Markou
Publsiher: Bloomsbury Publishing
Total Pages: 272
Release: 2020-11-26
Genre: Law
ISBN: 9781509937080

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What does computable law mean for the autonomy, authority, and legitimacy of the legal system? Are we witnessing a shift from Rule of Law to a new Rule of Technology? Should we even build these things in the first place? This unique volume collects original papers by a group of leading international scholars to address some of the fascinating questions raised by the encroachment of Artificial Intelligence (AI) into more aspects of legal process, administration, and culture. Weighing near-term benefits against the longer-term, and potentially path-dependent, implications of replacing human legal authority with computational systems, this volume pushes back against the more uncritical accounts of AI in law and the eagerness of scholars, governments, and LegalTech developers, to overlook the more fundamental - and perhaps 'bigger picture' - ramifications of computable law. With contributions by Simon Deakin, Christopher Markou, Mireille Hildebrandt, Roger Brownsword, Sylvie Delacroix, Lyria Bennet Moses, Ryan Abbott, Jennifer Cobbe, Lily Hands, John Morison, Alex Sarch, and Dilan Thampapillai, as well as a foreword from Frank Pasquale.

Machine Learning and Artificial Intelligence for Agricultural Economics

Machine Learning and Artificial Intelligence for Agricultural Economics
Author: Chandrasekar Vuppalapati
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9783030774851

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Artificial Economics

Artificial Economics
Author: Ruben Mercado
Publsiher: Cambridge University Press
Total Pages: 196
Release: 2021-10-31
Genre: Business & Economics
ISBN: 9781316517093

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An introductory overview of the methods, models and interdisciplinary links of artificial economics. Addresses the differences between the assumptions and methods of artificial economics and those of mainstream economics. This is one of the first books to fully address, in an intuitive and conceptual form, this new way of doing economics.

Economic and Policy Implications of Artificial Intelligence

Economic and Policy Implications of Artificial Intelligence
Author: Domenico Marino,Melchiorre A. Monaca
Publsiher: Springer Nature
Total Pages: 169
Release: 2020-05-20
Genre: Technology & Engineering
ISBN: 9783030453404

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This book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization. The topics discussed include economics, policies, finance, law, resource allocation strategies and information technology. Combining the input of contributing professors and researchers from Italian and international universities, the book will be of interest to students, researchers and practitioners, as well as members of the general public interested in the economic and policy implications of artificial intelligence.

Artificial Intelligence and Economic Theory Skynet in the Market

Artificial Intelligence and Economic Theory  Skynet in the Market
Author: Tshilidzi Marwala,Evan Hurwitz
Publsiher: Springer
Total Pages: 204
Release: 2017-09-18
Genre: Computers
ISBN: 9783319661049

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This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

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

The Impact of Artificial Intelligence on Governance  Economics and Finance  Volume I
Author: Sezer Bozkuş Kahyaoğlu
Publsiher: Springer Nature
Total Pages: 328
Release: 2021-04-26
Genre: Business & Economics
ISBN: 9789813368118

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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.

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

The Impact of Artificial Intelligence on Governance  Economics and Finance  Volume 2
Author: Sezer Bozkuş Kahyaoğlu
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9789811689970

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