Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Regulating AI Systems

Handbook of Research on Foundations and Applications of Intelligent Business Analytics
Is about making AI systems safe, accountable, liable, and responsible complying with the global responsibility for the common human being’s sustainable development.
Published in Chapter:
A Process-Oriented Framework for Regulating Artificial Intelligence Systems
Andrew Stranieri (Federation University, Australia) and Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea)
DOI: 10.4018/978-1-7998-9016-4.ch005
Abstract
Frameworks for the regulation of artificial intelligence (AI) systems are emerging; some are based on regulation theories; others are more technologically focused. Regulation of AI systems is likely to emerge in an ad-hoc, unstructured, and uncoordinated fashion that renders high level frameworks philosophically interesting but of limited benefit in practice. In this paper, the task of arriving at a collection of interventions that regulate an AI system is taken to be a process-oriented problem. It presents a process-oriented framework for the design of regulating systems by deliberating groups. It also discusses regulations of AI systems and responsibility, mechanisms and institutions, key elements for regulating AI systems. The proposed approach might facilitate research and development of responsible AI, explainable AI, and ethical AI for an ethical and inclusive digitized society. It also has implications for the development of e-business, e-services, and e-society.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR