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Implementation of Singapore's Smart Nation program led to the emergence of a number of initiatives on the introduction of artificial intelligence technologies in different areas. One such initiative was the adoption of National AI Strategy. Executive authorities have shaped the policy and rules for the formation and use of artificial intelligence for the period from 2018 to the present day against the legislative background. Its high efficiency has been confirming by the creation of favorable conditions in Singapore for both technological advancements and ensuring the public safety. This article presents the author's vision of the Singapore administrative principles in the field of AI, at the base of which lies the concept of balance between promoting technological and business innovations on the one hand, on the other hand is the protection of citizens' interests. Innovative tools for the support of the introduction of artificial intelligence in the forms of soft law acts adopted by Infocomm Media Development Authority, Personal Data Protection Committee, Monetary Authority of Singapore and Ministry of Health are highlighted. Those include general and specific. Special attention is given to Model AI Governance Framework, which have been praised by the international expert community. The author examines the institutional infrastructure of the public administration in the field of artificial intelligence that goes beyond the Ministry of Communications and Information. He provides examples of the projects fulfilled for the national AI strategies implementation (AI Verify, Veritas, 100E). This article determines features of organizational and legal support for the introduction of artificial intelligence in Singapore that distinguish it from other world leaders. The author makes an attempt to conceptualize the set of rules for the formation and use of artificial intelligence technologies. It reflects the trends of Singapore's AI policy. The author concludes that certain types of AI technologies, for example, generative AI and continuous-learning, have become separate objects of "soft-law" regulation. Two approaches to the scope of the AI-related recommendations are distinguished - for the field of AI in general covering all the areas and for developed areas of AI application (healthcare and finance).
Andrii Hachkevych (Sat,) studied this question.