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2021 | OriginalPaper | Chapter

1. Introduction

Author : Georgios I. Zekos

Published in: Economics and Law of Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

Artificial intelligence is becoming global and so, it is encompassing various industries and transforming commerce, which means that AI is having tremendous economic consequences akin to transformational technologies of the past, such as electrification, manufacturing, and information technology. Algorithmic decision-making presents multiple benefits to society and so, algorithms surpass human abilities, and the set of those tasks is escalating. AI and its usage have significant impact on human lives and society as a whole. AI involves a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in private lives, or being used for criminal purposes.

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Footnotes
1
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2
Michael Copeland, What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?, NVIDIA BLOG (July 29, 2016), https://​blogs.​nvidia.​com/​blog/​2016/​07/​29/​whats-difference-artificial-intelligence-machine-learningdeep-learning-ai; Yann Ménière & Ilja Rudyk, The Fourth Industrial Revolution from the European Patent Office Perspective, in Intellectual Property And Digital Trade In The Age Of Artificial Intelligence And Big Data 31, 31 (Xavier Seuba, Christophe Geiger, & Julien Penin eds, June 2018), https://​www.​ictsd.​org/​sites/​default/​files/​research/​ceipi-ictsd_​issue_​5_​final_​0.​pdf.
 
3
Angela Walch, ‘The Bitcoin Blockchain as Financial Market Infrastructure: A Consideration of Operational Risk’[2015]18 NYU J Legislation and Public Policy837 (considering the operational risks created by informal governance processes in Bitcoin and their implications for its suitability as financial market infrastructure); Angela Walch, ‘Open-Source Operational Risk: Should Public Blockchains Serve as Financial Market Infrastructures?’ in David LEE Kuo Chuen and Robert D Deng (eds), Handbook of Blockchain, Digital Finance, and Inclusion Vol. 2 (Elsevier Academic Press 2017) (exploring the operational risks raised by use of grassroots open source software development practices in the use of public blockchains as financial market infrastructures).
 
4
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5
A. Perkins (2018) Government to review law before self-driving cars arrive on UK roads, The Guardian, 6 March, https://​www.​theguardian.​com/​technology/​2018/​mar/​06/​self-driving-cars-in-uk-riding-on-legalreview.
 
6
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11
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12
Lester Thurow, The Future of Capitalism. New York: W. Morrow, 1996. p. 115. “The ‘globalization’ topic arises from a cluster of empirical data which show how in many branches and areas of activity, there is a small number of relevant firms operating and there are no national boundaries to competition. So in sectors like finances, telecommunications, aerospace, semiconductors etc. there exists real world-wide competition among a reduced number of firms.”
 
13
PricewaterhouseCoopers, Global Artificial Intelligence Study: Exploiting the AI Revolution 4 (2017), https://​www.​pwc.​com/​gx/​en/​issues/​analytics/​assets/​pwc-ai-analysis-sizing-theprize-report.​pdf; Jonathan Bastable, Is artificial intelligence set to become art’s next medium?, Christie’s (Aug. 20, 2018), https://​www.​christies.​com/​features/​A-collaboration-between-two-artists-one-human-one-amachine-9332-1.​aspx.
 
14
Oracle, Am. Inc. v. Google Inc., 2014; case BSA v. Ministerstvo kultury ČR, C-393/09, 2010; case SAS Institute Inc. v. World Programming Ltd, C-406/10, 2012.
 
Metadata
Title
Introduction
Author
Georgios I. Zekos
Copyright Year
2021
Publisher
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-030-64254-9_1