AI Governance in Public Sector Enterprise Systems: Ensuring Trust, Compliance, and Ethics
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I1P114Keywords:
AI Governance, Public Sector Enterprise Systems, Trustworthy AI, Regulatory Compliance, Ethical AI, Transparency, Accountability, Data GovernanceAbstract
The adoption of artificial intelligence (AI) in public sector enterprise systems has accelerated significantly, driven by the need for efficient service delivery, data-driven decision-making, and large-scale digital transformation. Governments now deploy AI across core enterprise platforms such as ERP, CRM, case management, and e-governance systems to support citizen services, welfare administration, fraud detection, and regulatory enforcement. While these applications offer substantial operational and societal benefits, they also introduce critical challenges related to transparency, accountability, legal compliance, and ethical responsibility. Public sector organizations operate under heightened scrutiny, where automated decisions must be explainable, fair, and aligned with democratic values and regulatory obligations. This paper examines AI governance as a foundational framework for managing these challenges in public sector enterprise environments. It explores how governance mechanisms spanning strategic policy alignment, operational oversight, and technical controls can ensure trustworthy and compliant AI deployment across the system lifecycle. The study situates AI governance within the evolving global and national regulatory landscape, including data protection laws, AI-specific regulations, and ethical standards. It also highlights the role of human-in-the-loop decision-making, auditability, and bias mitigation in sustaining public trust. Through analysis and illustrative public sector case evidence, the paper demonstrates that effective AI governance enables governments to balance innovation with accountability. Ultimately, the work underscores that robust governance is essential for realizing the benefits of AI in public services while safeguarding citizen rights, institutional legitimacy, and ethical integrity in 2024 and beyond
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References
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