Artificial Intelligence Regulation: Fundamentals and Applications

By Fouad Sabry

What Is Artificial Intelligence Regulation

The establishment of public sector policies and rules for developing and regulating artificial intelligence (AI) is what constitutes the regulation of artificial intelligence (AI); as a result, AI regulation is related to the more general regulation of algorithms. The legal and policy landscape for artificial intelligence is a developing topic in jurisdictions all over the world, notably in the European Union and in supranational groups like the IEEE and the OECD, amongst others. In an effort to keep society in control of artificial intelligence technology, a wave of AI ethical guidelines has been issued from the year 2016. Regulation is seen as important in order to both foster artificial intelligence and manage the risks connected with it. In addition to government regulation, AI-deploying enterprises need to play a central role in developing and deploying trustworthy AI in accordance with the principles of trustworthy AI, and they also need to take responsibility for minimizing the associated risks. Regulation of artificial intelligence using systems such as review boards is one example of a social means approach to solving the problem of AI control.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Regulation of artificial intelligence

Chapter 2: Artificial intelligence

Chapter 3: Ethics of artificial intelligence

Chapter 4: Machine ethics

Chapter 5: Regulation of algorithms

Chapter 6: Artificial Intelligence Act

Chapter 7: Automated decision-making

Chapter 8: AI safety

Chapter 9: Government by algorithm

Chapter 10: Artificial intelligence arms race

(II) Answering the public top questions about artificial intelligence regulation.

(III) Real world examples for the usage of artificial intelligence regulation in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence regulation' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence regulation.

• Language: English
• Publisher: One Billion Knowledgeable
• Release date: Jul 2, 2023

Book preview

Chapter 1: Regulation of artificial intelligence

The establishment of public sector policies and rules for developing and regulating artificial intelligence (AI) is what constitutes the regulation of artificial intelligence (AI); as a result, AI regulation is connected to the more general regulation of algorithms. The legal and policy environment for artificial intelligence is a developing topic in jurisdictions all over the world, notably in the European Union and in supranational groups like the IEEE and the OECD, amongst others. In an effort to keep society in control of artificial intelligence technology, a wave of AI ethical guidelines have been issued since 2016.

In 2017, Elon Musk made a request for the development of AI to be regulated.

The establishment of public sector policies and rules for developing and regulating artificial intelligence is referred to as the regulation of artificial intelligence.

Other social responses, such as doing nothing or banning, are seen as impractical, and approaches such as enhancing human capabilities through transhumanism approaches such as brain-computer interfaces are seen as potentially complementary. Regulation of artificial intelligence can be seen as a positive social means to manage the AI control problem, which is the need to insure long-term beneficial AI. Other social responses, such as doing nothing or banning, are also seen as impractical.

At the very least as early as 2017, it was recommended that the development of artificial intelligence should be governed by a worldwide governing board.

Emerging issues pertaining to the regulatory and policy environment for artificial intelligence are being raised in jurisdictions all over the world, notably in the European Union.

The Pan-Canadian Artificial Intelligence Strategy (2017), which has the aims of expanding the number of great AI researchers and competent graduates in Canada, is backed by government funding of 125 million Canadian dollars.

building centers of scientific excellence in each of the three primary centers for artificial intelligence, developing ‘global thought leadership’ on the economic, ethical, Policy and legal consequences of developments in artificial intelligence, as well as sustaining a national research community working on AI.

The federal government appointed an Advisory Council on AI in May 2019 with a focus on examining how to build on Canada’s strengths to ensure that AI advancements reflect Canadian values, include things like human rights, a commitment to openness and transparency

A working group has been created by the Advisory Council on AI to investigate ways to derive economic value from AI and data analytics that are owned by Canadian companies.

The document titled A Next Generation Artificial Intelligence Development Plan (State Council Document No. 35) was published on July 8, 2017 by the State Council of the People's Republic of China. In this document, the Central Committee of the Communist Party of China and the State Council of the People's Republic of China urged the governing bodies of China to encourage the development of AI. This document is the primary document that governs the regulation of AI in China. Regulation of the issues of ethical and legal support for the development of artificial intelligence is in its infancy; however, policy ensures state control of Chinese companies and over valuable data. This includes the storage of data on Chinese users within the country as well as the mandatory use of the People's Republic of China's national standards for artificial intelligence, including over big data, cloud computing, and industrial software. China announced ethical principles for the use of artificial intelligence in China in 2021. These rules indicate that researchers must guarantee that AI adheres to common human values, is always under human control, and does not jeopardize public safety.

The 47 countries that make up the Council of Europe are members of an international organization called the Council of Europe (CoE), which works to advance democracy, human rights, and the rule of law.

includes all 29 countries that signed the 2018 Declaration of Cooperation on Artificial Intelligence that was created by the European Union.

The Council of Europe (CoE) is responsible for establishing a shared legal environment, and all of its members are obligated by law to uphold the rights that are outlined in the European Convention on Human Rights.

Concerning artificial intelligence in particular, "The Council of Europe’s aim is to identify intersecting areas between AI and our standards on human rights, the rule of law, and democratic government

as well as to provide relevant solutions for the establishment of standards or the creation of capacities."

The Committee of Experts has identified a vast number of publications that are important, including guidelines, charters, papers, reporting and planning are included.

The majority of nations that make up the European Union (EU) have their own national plans for regulating AI.

On the other hand, these tend to converge.

The White Paper is made up of the following two primary components:

an ‘ecosystem of excellence’ and a ‘ecosystem of trust’.

The latter document explains the strategy that the EU will take for developing a regulatory framework for AI.

Within the framework of the suggested method, The Commission makes a distinction between AI applications that are high-risk and those that are non-high-risk.

Only the first option should fall within the purview of a potential EU regulatory framework in the future.

Whether or not this would be the case might in theory be assessed by two different factors taken together:

pertaining to important areas of usage and key industries.

The following essential criteria are taken into consideration for high-risk applications of AI: needs for training data; information gathering and bookkeeping; tasks related to information; standards for dependability and precision; prerequisites

supervision from humans; in addition to the unique needs for various AI applications, such as those used for the purpose of biometric identification through remote means.

AI applications that do not qualify as ‘high-risk’ could be governed by a voluntary labeling scheme.

When it comes to regulations and their enforcement, Prior conformity evaluations, which can include things like procedures for testing, are something the Commission takes into consideration.

inspection or certification, as well as checks of the algorithms and of the data sets employed in the development process, are all examples of this.

The execution of the regulatory framework may be made easier with the help of a European governance structure on artificial intelligence in the form of a framework for collaboration between national responsible authorities.

This involves making certain adjustments to the risk-based strategy that will be used in 2020.

Concerns have been voiced by observers over the multiplicity of legislative suggestions that have been made in accordance with the von der Leyen Commission.

The rapidity with which legislative ideas are being proposed is being driven in part by the political aspirations of the EU, and this might put the digital rights of European individuals in jeopardy.

includes rights pertaining to one's own privacy.

Through the Digital Economy Strategy 2015-2018, which was presented at the beginning of 2015