TY - GEN
T1 - Introduction to the Minitrack on AI in Government
AU - Liu, Dapeng
AU - Gascó-Hernández, Mila
AU - Carter, Lemuria
N1 - Publisher Copyright:
© 2024 IEEE Computer Society. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Artificial Intelligence (AI) is increasingly shaping governmental sectors, driven by advancements in machine learning, neural networks, and economic challenges. As governments strive to enhance services with limited resources, AI offers optimized efficiency, enhanced decision-making, and improved data processing. This transformation holds potential in areas like welfare identification, fraud detection, and improved public service delivery. This minitrack, part of the Digital Government Track at HICSS, delves into AI's current and future roles in public sectors, emphasizing its benefits, complexities, and the need for comprehensive governance and scrutiny. With four accepted papers, the minitrack offers insights spanning a diverse spectrum, from exploring AI's geopolitical evolution and the nuances of strategic planning in different cultural contexts to understanding perceptions held by public managers and the innovative use of AI in digital participation platforms. Together, these contributions shed light on the multifaceted implications of AI within the realm of public governance, providing a holistic understanding of its current landscape and future trajectory.
AB - Artificial Intelligence (AI) is increasingly shaping governmental sectors, driven by advancements in machine learning, neural networks, and economic challenges. As governments strive to enhance services with limited resources, AI offers optimized efficiency, enhanced decision-making, and improved data processing. This transformation holds potential in areas like welfare identification, fraud detection, and improved public service delivery. This minitrack, part of the Digital Government Track at HICSS, delves into AI's current and future roles in public sectors, emphasizing its benefits, complexities, and the need for comprehensive governance and scrutiny. With four accepted papers, the minitrack offers insights spanning a diverse spectrum, from exploring AI's geopolitical evolution and the nuances of strategic planning in different cultural contexts to understanding perceptions held by public managers and the innovative use of AI in digital participation platforms. Together, these contributions shed light on the multifaceted implications of AI within the realm of public governance, providing a holistic understanding of its current landscape and future trajectory.
KW - AI
KW - Decision-making
KW - Governance
KW - Government
KW - Public Administration
KW - Public Service
UR - http://www.scopus.com/inward/record.url?scp=85199789833&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85199789833
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 1838
EP - 1839
BT - Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
Y2 - 3 January 2024 through 6 January 2024
ER -