A Pragmatic Approach to Regulating Artificial Intelligence: A Technology Regulator's Perspective
Joshua Ellul, Stephen McCarthy, Trevor Sammut, Juanita Brockdorff,, Matthew Scerri, Gordon J. Pace

TL;DR
This paper proposes a pragmatic, voluntary AI regulatory framework designed to balance innovation support with safety, implemented as the first national AI legal and regulatory system by a law-empowered authority.
Contribution
It introduces the first national AI technology assurance legal and regulatory framework, emphasizing a flexible, sector-specific approach to AI regulation.
Findings
First national AI regulatory framework implemented by law
Framework supports innovation while ensuring safety
Regulation is sector-specific and voluntary where appropriate
Abstract
Artificial Intelligence (AI) and the regulation thereof is a topic that is increasingly being discussed within various fora. Various proposals have been made in literature for defining regulatory bodies and/or related regulation. In this paper, we present a pragmatic approach for providing a technology assurance regulatory framework. To the best knowledge of the authors this work presents the first national AI technology assurance legal and regulatory framework that has been implemented by a national authority empowered through law to do so. In aim of both providing assurances where required and not stifling innovation yet supporting it, herein it is proposed that such regulation should not be mandated for all AI-based systems and that rather it should primarily provide a voluntary framework and only be mandated in sectors and activities where required and as deemed necessary by other…
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