Artificial Intelligence in Government: Potentials, Challenges, and the Future

被引:23
作者
Ahn, Michael J. [1 ]
Chen, Yu-Che [2 ]
机构
[1] Univ Massachusetts Boston, Dept Publ Policy & Publ Affairs, Boston, MA 02125 USA
[2] Univ Nebraska Omaha, Digital Governance & Analyt Lab, Omaha, NE USA
来源
PROCEEDINGS OF THE 21ST ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2020 | 2020年
关键词
Artificial Intelligence; Frontier Technology; Social Transformation; Government Reform; INTERNET;
D O I
10.1145/3396956.3398260
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The rapid advancement of AI technologies - machine learning, Big Data, Cloud Computing and Internet of Things (IoT) and other related technologies - has dramatically expanded the technological capacities of the government and the application of AI technologies in government has been accelerating into more substantial areas of the government functions. Often compared to the Fourth Industrial Revolution, AI technologies are expected to change our society in a fundamental way and this will create the need for the public sector to adapt and coordinate the broader social transformation around the new technology. At this important juncture, this paper explores the significance of AI technologies put on a broader spectrum of frontier technologies that have previously transformed our society and the public sector; examine its unique attributes, potentials, and applications for government services; investigate the landscape of the current use of AI technologies in government and discuss key challenges the new technology will pose to the government and how they may be addressed.
引用
收藏
页码:243 / 252
页数:10
相关论文
共 41 条
[1]  
Allen G. C., 2019, Understanding China's AI Strategy: Clues to Chinese Strategic Thinking on Artificial Intelligence and National Security
[2]  
[Anonymous], 2015, Principles
[3]  
[Anonymous], 2016, Optimizing the Quality and Delivery of City Emergency Medical Services
[4]  
[Anonymous], 2015, Delivering Faster Results with Food Inspection Forecasting
[5]  
Australia Government Department of Finance, 2010, Declaration of Open Government
[6]  
Barnes J., 2015, Azure Machine Learning
[7]  
Brown J., 2016, Chatbots Debut in North Carolina, Allow IT Personnel to Focus on Strategic Tasks
[8]  
Castells M, 2010, The Information Age: Economy, Society, and Culture, V2nd
[9]  
Chenok D., 2018, The Future Has Begun! Using Artificial Intelligence to Transform Government
[10]  
Chin C., 2016, Five Great Government AI Projects