Futures Studies on AI Governance in Smart Governments: Toward Achieving a Sustainable and Efficient Structure for Utilizing Advanced Technologies

Abstract

Future advancements are expected to occur rapidly, with scientists anticipating the realization of superhuman capabilities in strategic fields within the coming decades. The opportunities created by technological advancements, especially in artificial intelligence (AI), across various domains such as healthcare, transportation, energy, education, economic growth, and environmental sustainability, are immense. Conversely, the potential risks are significant, and technological advancements pose numerous governance challenges. These risks include workforce displacement, inequality, shifts in national power, strategic instability, and certain forms of AI that may jeopardize health and other societal values. Leaders of governments and large corporations frequently seek advice for better policymaking in this new landscape; however, academic attention to the revolution brought about by AI remains limited. Therefore, there is an urgent need for extensive research on AI governance, a topic that necessitates rethinking global institutions, policies, and norms to ensure the beneficial and ethical development and application of AI. This report is written in light of the urgent need for research on this issue. The first section focuses on AI policy, emphasizing the dynamics among governments, major corporations, the public, researchers, and other stakeholders. The final section analyzes possible structures for transitioning toward AI management. This study examines the future of AI governance in smart governments to achieve a sustainable and efficient structure for leveraging advanced technologies. The findings highlight the importance of revising policies and regulations to develop AI governance. The proposed future scenario suggests that governments should continuously update AI-related laws and regulations to prevent negative societal impacts. These revisions must simultaneously support innovation and ensure that citizens' rights are protected against automated decision-making. Moreover, enhancing the security and sustainability of AI systems should be prioritized. This includes developing security infrastructures, risk management practices, and employing advanced techniques to prevent misuse and cybersecurity threats. Given the rapid evolution of AI technologies, ensuring their security and sustainability is a primary responsibility of governments. This effort can lead to improved quality of life and increased public trust.