Governing by Humans, Not by Robots: Regulating Humans and Artificial Intelligence in the 21st Century

Governing by Humans, Not by Robots: Regulating Humans and Artificial Intelligence in the 21st Century

George Gantzias
Copyright: © 2021 |Pages: 19
DOI: 10.4018/978-1-7998-5077-9.ch007
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Abstract

Artificial intelligence and robots together with fake news have challenged irrevocably not only the traditional business organizations and representative democracy but also the role of regulatory mechanisms in digital capitalism. In 2020, companies will need to develop a new culture (i.e., the business intelligence culture[BIC]) in order to understand that human resources, currently one of the lowest rungs in a company ladder, will be elevated to the same position as research and development. This chapter examines and analyses artificial intelligence, robots, and human decision-making process together with the role of automatic decision-making algorithms in business systems. It considers critical questions regarding global regulation, ethical standards, public interest, and democracy. It examines the need for regulation in digital capitalism. Finally, it outlines the models business intelligence culture (BIC) and collective will democracy (CWD) as methodological tools to analyze humans and robots' governance in the digital era.
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Robots And Ethical Standards: Global Control, Human Resistance

Artificial intelligence and robots exert strong pressure on traditional regulatory systems and humans decision-making process. In the context of the recent crisis of democracy, some of the most important and widely debated issues in the areas of digitalization of humans’ activities are the protection of human rights, democratic systems, privacy, transparency, trust and accountability. In order to cope with the digitization transformation and to protect ethical standards and cultural rights, all countries should collaborate to develop regulatory mechanisms to control robots and automatic decision-making algorithms both locally and globally. For this purpose, the use of artificial hardware and software programmers, together with regulatory experts and policy making managers may prove extremely valuable (see also, Gantzias, 2020; D. P. Baron, September 2010; A. Ferrari, 2008; M. Bovens 2007; R. Brownsword, ed., 2004b; J. Black, 2002; J. Black, P. Muchlinski & P. Walker. Eds. 1998).

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