IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Pragmatic Regulatory Framework for Artificial Intelligence

A Pragmatic Regulatory Framework for Artificial Intelligence
View Sample PDF
Author(s): Karisma Karisma (University Malaya, Malaysia)
Copyright: 2022
Pages: 19
Source title: Regulatory Aspects of Artificial Intelligence on Blockchain
Source Author(s)/Editor(s): Pardis Moslemzadeh Tehrani (University of Malaya, Malaysia)
DOI: 10.4018/978-1-7998-7927-5.ch002

Purchase

View A Pragmatic Regulatory Framework for Artificial Intelligence on the publisher's website for pricing and purchasing information.

Abstract

The application of AI technology in different sectors can intrude on the data subjects' privacy rights. While the data protection laws attempt to regulate the use and processing of personal data, these laws obstruct the growth and development of AI technology. Current regulations are unable to cope with the AI revolution due to the pacing problem and Collingridge dilemma. In view of the regulatory gaps and the complexity of technology, there is a strong justification to regulate AI technology. It is increasingly important to safeguard privacy without encumbering AI technology with regulatory requirements that will hinder its progress. With the convergence of AI and blockchain technology, privacy challenges are exacerbated. In this chapter, several types of regulations will be analysed to decipher a suitable regulatory framework for AI. This is to ensure effective regulation of AI and to allow AI to flourish with the use and application of blockchain features.

Related Content

Mohamed Ikbal Nacer, Simant Prakoonwit. © 2022. 20 pages.
Karisma Karisma. © 2022. 19 pages.
Muhammad Abdullah Fazi. © 2022. 12 pages.
Karisma Karisma, Pardis Moslemzadeh Tehrani. © 2022. 30 pages.
Karisma Karisma. © 2022. 30 pages.
Andasmara Rizky Pranata, Pardis Moslemzadeh Tehrani. © 2022. 20 pages.
Poshan Yu, Ruixin Gong, Michael Sampat. © 2022. 26 pages.
Body Bottom