LEVERAGING AI TECHNIQUES FOR EFFICIENT GOVERNANCE AND POLICYMAKING: REFLECTIONS ON AUTOMATA THEORY

Abstract

The worrisome issues of governance and policymaking in society can be addressed significantly by leveraging the techniques of AI and other advanced technologies for efficiency and optimization. This study examines the functionality of popular AI techniques in relation to automata theory (AT) in pursuing and realizing efficient governance and policymaking. The study relies on secondary data from library and the internet. It deploys thematic analysis, logical interpretation, and analytic descriptive techniques for synthesis and analysis of the data. The analysis shows that popular AI techniques, such as machine learning, deep learning, internet of things, robotics and natural language processing, perform multifaceted functions that optimize and automate governance and policymaking, thereby making various undertakings in these endeavours efficient, innovative and seamless. Besides, it demonstrates that AT offers valuable insights to understanding the behavior of machines and their interactional relationships with formal language. These findings underscore the dire need for leveraging AI techniques and other advanced technologies alongside practical conventional measures for the attainment of efficient governance and policymaking. Thus, the study concludes that AI techniques are capable of addressing many problems of governance and policymaking, including making them efficient to a large extent. For efficient governance and policymaking, stakeholders and experts in the fields are charged to be up and doing, proactive, engaging, decisive and committed to integrating and governing AI and other advanced technologies into policymaking and governance.