American Journal of Advanced Multidisciplinary Research and Innovation

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Artificial Intelligence and Decision Analytics for Public Sector Innovation

Author(s) Martial Hebert
Country United States
Abstract Artificial Intelligence (AI) and decision analytics are increasingly transforming public-sector organisations by enabling data-driven policymaking, predictive service delivery, resource optimisation, and evidence-based administrative decision-making. Governments generate and manage extensive datasets relating to healthcare, education, transportation, taxation, social protection, public safety, infrastructure, and environmental management. The integration of AI, machine learning, big-data analytics, natural language processing, and predictive modelling can convert these datasets into actionable intelligence and support more responsive public services. This study examines the role of AI and decision analytics in public-sector innovation, focusing on applications, benefits, organisational requirements, ethical challenges, and future directions. A qualitative and analytical methodology based on secondary research is adopted. The study proposes an integrated AI-enabled public-sector decision framework involving data governance, analytical infrastructure, AI modelling, human oversight, policy implementation, and continuous evaluation. The analysis indicates that AI can improve administrative efficiency, resource allocation, service personalisation, fraud detection, policy evaluation, and emergency management. However, concerns surrounding algorithmic bias, transparency, privacy, cybersecurity, accountability, digital inequality, and inappropriate automation can limit successful implementation. The study concludes that AI should complement rather than replace public-sector expertise and democratic decision-making. Sustainable public-sector innovation requires responsible AI governance, high-quality data, institutional capacity, skilled personnel, transparency, and meaningful human oversight.
Keywords Artificial Intelligence, Decision Analytics, Public Sector Innovation, Government, Data-Driven Decision-Making, Public Administration, Predictive Analytics, Digital Government, AI Governance, Smart Governance.
Field Engineering
Published In Volume 4, Issue 3, May-June 2022
Published On 2022-06-02
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