The integration of Artificial Intelligence (AI) into administrative systems and processes can result in a transformative shift in the public sector, which can enhance efficiency, decision-making, and service delivery. Public administration has traditionally grappled with challenges such as resource allocation, policy implementation, and stakeholder engagement, often under constraints of limited budgets and changing societal needs. The advent of AI technologies, including machine learning, natural language processing, and predictive analytics, offers opportunities to address these challenges, optimizing operations and facilitating more informed policy decisions.
This Research Topic seeks to explore the frontier of AI applications within administrative systems, focusing on both the opportunities and challenges they present. Despite the potential benefits, the integration of AI raises concerns around ethics, transparency, and accountability, necessitating a thorough examination.
Potential administrative problems that could be addressed with AI include, but are not limited to, streamlining case review through automated document analysis, enhancing public engagement by deploying AI-driven chatbots for 24/7 service, improving resource allocation with the use of predictive analytics in urban planning and emergency services, improving policy analysis and decision-making with machine learning models to predict policy outcomes, and ensuring equitable service delivery by identifying biases in algorithmic decision-making.
To achieve meaningful integration, it is crucial to design AI solutions that are ethical, transparent, and aligned with public values. This entails developing robust frameworks for AI governance, fostering public trust through transparency, and ensuring that AI systems are designed to complement human decision-makers, rather than replace them.
This Research Topic invites contributions that examine the application, implications, and innovations of AI in administrative systems and processes. We are particularly interested in manuscripts that address the following themes:
· Case studies of successful AI integration in public administration.
· Ethical considerations and governance frameworks for AI in public systems.
· The impact of AI on public sector employment and workforce development.
· Innovative AI technologies and their potential applications in public services.
· Evaluation methodologies for assessing the impact of AI on administrative efficiency and public service delivery.
We welcome submissions in the form of original research articles, case studies, review articles, and perspectives from academics, practitioners, and policy-makers. Through this Research Topic, we aim to catalyze a multidisciplinary dialogue on the use of AI to create more responsive, efficient, and equitable administrative systems.
Keywords:
Public Sector Management, Intellectual Property Protection, Data Privacy, Stakeholders, AI Algorithms
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The integration of Artificial Intelligence (AI) into administrative systems and processes can result in a transformative shift in the public sector, which can enhance efficiency, decision-making, and service delivery. Public administration has traditionally grappled with challenges such as resource allocation, policy implementation, and stakeholder engagement, often under constraints of limited budgets and changing societal needs. The advent of AI technologies, including machine learning, natural language processing, and predictive analytics, offers opportunities to address these challenges, optimizing operations and facilitating more informed policy decisions.
This Research Topic seeks to explore the frontier of AI applications within administrative systems, focusing on both the opportunities and challenges they present. Despite the potential benefits, the integration of AI raises concerns around ethics, transparency, and accountability, necessitating a thorough examination.
Potential administrative problems that could be addressed with AI include, but are not limited to, streamlining case review through automated document analysis, enhancing public engagement by deploying AI-driven chatbots for 24/7 service, improving resource allocation with the use of predictive analytics in urban planning and emergency services, improving policy analysis and decision-making with machine learning models to predict policy outcomes, and ensuring equitable service delivery by identifying biases in algorithmic decision-making.
To achieve meaningful integration, it is crucial to design AI solutions that are ethical, transparent, and aligned with public values. This entails developing robust frameworks for AI governance, fostering public trust through transparency, and ensuring that AI systems are designed to complement human decision-makers, rather than replace them.
This Research Topic invites contributions that examine the application, implications, and innovations of AI in administrative systems and processes. We are particularly interested in manuscripts that address the following themes:
· Case studies of successful AI integration in public administration.
· Ethical considerations and governance frameworks for AI in public systems.
· The impact of AI on public sector employment and workforce development.
· Innovative AI technologies and their potential applications in public services.
· Evaluation methodologies for assessing the impact of AI on administrative efficiency and public service delivery.
We welcome submissions in the form of original research articles, case studies, review articles, and perspectives from academics, practitioners, and policy-makers. Through this Research Topic, we aim to catalyze a multidisciplinary dialogue on the use of AI to create more responsive, efficient, and equitable administrative systems.
Keywords:
Public Sector Management, Intellectual Property Protection, Data Privacy, Stakeholders, AI Algorithms
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.