Leveraging Artificial Intelligence for Public Sector Decision-Making: Balancing Accountability and Efficiency in Digital Public Services
DOI:
https://doi.org/10.62802/ejr09s21Keywords:
Artificial Intelligence, Public Sector, Digital Services, Accountability, Efficiency, Governance, Algorithmic Bias, Transparency, EquityAbstract
The adoption of Artificial Intelligence (AI) in the public sector offers transformative potential for enhancing decision-making processes, optimizing service delivery, and driving operational efficiency. This research examines the integration of AI into digital public services, emphasizing the dual imperatives of accountability and efficiency. By analyzing AI’s application in areas such as resource allocation, policy formulation, and citizen engagement, this study explores how public sector organizations can leverage AI to address complex societal challenges. Central to this discourse is the balance between automation’s benefits and the ethical considerations inherent in governance, such as transparency, equity, and inclusivity. Through a multidisciplinary approach, the research evaluates real-world case studies and theoretical frameworks, providing actionable insights for policymakers and administrators. It also investigates the limitations and risks of AI adoption, including algorithmic bias, lack of explainability, and potential erosion of public trust. By proposing strategies to align AI innovations with the principles of good governance, this study contributes to the development of equitable and accountable AI-driven public systems, ensuring their sustainability and societal acceptance.
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