This chapter explores the intersection of Artificial Intelligence (AI) and
governance, emphasizing the public sector's dual role as an innovator and a regulator. It
begins with a theoretical foundation on innovation, defining its dimensions and
triggers, as articulated by thinkers such as Schumpeter and Christensen. The discussion
highlights how innovation extends beyond economic motives, with the public sector
playing a significant role in fostering societal advancement. The chapter addresses the
perception of the public sector as resistant to innovation, showcasing examples of ICT
advancements in Southeast Asia, including e-government initiatives in the Philippines.
Despite bureaucratic and institutional challenges, these cases demonstrate how the
public sector has successfully utilized technology to improve transparency, efficiency,
and citizen engagement. The transformative potential of AI is categorized into three
areas: streamlining bureaucracy, enhancing democratic accountability, and improving
public service delivery. Applications include automated tax compliance, corruptionresistant procurement processes, citizen engagement platforms, and efficient resource
allocation in sectors like healthcare and transportation. Challenges such as data bias,
ethical concerns, and environmental impact are discussed alongside the need for a
robust regulatory framework. The chapter advocates for ecological safeguards, human
accountability in the use of AI, and equitable access to AI innovations. International
cooperation is critical for establishing global norms and inclusive AI governance.
Ultimately, the chapter affirms that the public sector, by balancing innovation with
oversight, can harness AI to foster accountability, inclusiveness, and sustainable
development.
Keywords: Artificial intelligence, Bureaucracy, Citizen engagement, Data bias, E-Government, Environmental safeguards, Ethical AI, Governance, ICT, Innovation, International cooperation.
