Economics and Law of Artificial Intelligence: Finance, Economic Impacts, Risk Management and Governance

✍ Scribed by Georgios I. Zekos

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 547
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Economics and Law of˜ Artificial Intelligence
Contents
Part I: Economics of Artificial Intelligence
Chapter 1: Introduction
Chapter 2: E-Globalization and Digital Economy
2.1 Cyberspace Settings
2.2 Cyberspace Governance
2.3 Digital Economy Background
2.4 Digital Economy Developments
2.5 Finance and Globalization
2.6 From Conventional Globalization to E-Globalization
2.7 Fintech
2.8 Globalization, AI, and Accounting
2.9 Logistics and E-Commerce
2.10 Networks and Logistics
References
Chapter 3: Management and Corporate Governance
3.1 Digital Governance and Digital Platforms
3.2 DLT, Crypto-Asset Holders, and Digital Governance
3.3 Blockchain and Fiduciary Duties
3.4 Corporate Governance Theories
3.5 Governance Structures
3.6 Corporate Governance Externalities
3.7 The Governance Features of Venture Capital
3.8 Characteristics of Blockchain Governance
3.9 Expectations and Performance Management
3.10 Behavioral Portfolio Management
3.11 Management f Financial Enterprises
3.12 Operational Line Management
3.13 Supply Management
References
Chapter 4: Artificial Intelligence Governance
4.1 Artificial Intelligence Governance
4.2 AI and Corporate Governance
4.3 Machine Learning and Management
4.4 AI and Corporate Management
4.5 AI´s Managerial Involvement
4.6 AI and Vehicles
References
Chapter 5: Risk Management Developments
5.1 Risk, GDPR, and AML
5.2 Defining Risk
5.3 Managing Risks
5.4 Risk Factors
5.5 Risk Management and Governance
5.6 Internal-External Governance Mechanisms
5.7 Strengthening Internal Governance Mechanisms
5.8 Risk Management and Corporate Governance in EU
5.9 Defining Risk Management
5.10 The Limits of Risk Management
5.11 Big Data: Risk Management
5.12 Risk Management Implications and Finance
5.13 Corporate Governance and Finance Tools
5.14 Enterprise Risk Management
5.15 Operational Risk Management
5.16 Financial Risk Management
5.17 Banks Risk Management
5.18 CSR as Risk Management
5.19 Risk Management and Compliance
5.20 Pandemic Risk Management
5.21 COVID-19 and Risk Management
References
Chapter 6: AI Risk Management
6.1 AI Background
6.2 The Globalization of Information and Its Consequences
6.3 AI Networks Vs. Human Networks
6.4 Automated Decision-Making
6.5 AI and Risks
6.6 Transforming Governance
6.7 AI and Governance
6.8 AI in Banks´ Governance
6.9 AI in Audit
6.10 Chief Legal Officer and AI Management
6.11 AI and Healthcare Industry
6.12 Unregulated Artificial Intelligence
6.13 AI and EU Trade
6.14 AI and Labor
6.15 AI in Finance
References
Part II: Law of Artificial Intelligence
Chapter 7: Econometric Analysis on AI Economy
7.1 Econometric Background
7.2 AI and IPRs
7.3 Econometric Outcomes Zekeuipr Index
7.3.1 Introduction
7.3.2 A Linear Model
7.3.3 Empirical Results
7.3.4 Linear Results Regarding GDP Growth and Trade
7.3.5 Nonlinear Results
7.3.6 Linear Results Regarding Trade in EU
7.3.7 Linear Results Regarding GDP Growth in Relation to FDI Inflows Merchandise and Services/Tertiary Sector OLS Model
7.3.8 Empirical Results for Zekipr6
References
Chapter 8: Electronic Technology and the Law
8.1 AI History
8.2 Blockchain and the Law
8.3 Legalizing Machine Learning
References
Chapter 9: Legalizing Artificial Intelligence
9.1 Characteristics of AI Vs. Humans
9.2 The Worthiness of AI
9.3 AI Legal Personality
9.4 From Traditional Legal Personhood to AI Legal Personhood
9.5 AI Entities Accountability
9.6 E-Persons and Liability
References
Chapter 10: AI and Legal Issues
10.1 Legal Background
10.2 AI and the Rule of Law
10.3 From the Rule of Law to the AI Rule of Law
10.4 Al and Administration
10.5 Al and Common Law
10.6 Al and Companies Responsibility
10.7 AI and Security Rights
10.8 AI and Criminal Law
10.9 Al and Discrimination Law
10.10 Regulating Bias and Digital Platforms
10.11 AI, Computation, and Digital Justice
References
Chapter 11: AI and IPRs
11.1 IPRs for Data-Centric Technologies
11.2 Al and Patents
11.3 AI and Copyright
11.4 AI and Fair Use
11.5 Software and Law
References
Chapter 12: AI and International Law
12.1 Legal Outline
12.2 Al in Weaponry
12.3 AI and International Law
12.4 AAI Rule of Law and AAI International Law
References
Chapter 13: Conclusions