An integrated artificial intelligence framework for public management

ABSTRACT Artificial intelligence (AI) extends the limits of current performance in data processing and analysis many times over. Since this states a great improvement in managing public data, this conceptual study discusses the use of AI in public management structures in connection with their risks and side effects. The exercise of state power and public influence through intelligent machines make ethical and political guidelines essential for their operation, constituting the cornerstones of the AI framework model developed here. The organizational structure and technical specification are additional aspects of the AI that determine design and functionality of the framework model in practical application.

[1]  Lawrence B. Solum Legal Personhood for Artificial Intelligences , 2008, Machine Ethics and Robot Ethics.

[2]  Jan C. Weyerer,et al.  Artificial Intelligence and the Public Sector—Applications and Challenges , 2018, International Journal of Public Administration.

[3]  Chunyan Miao,et al.  SmartHS: An AI Platform for Improving Government Service Provision , 2018, AAAI.

[4]  E. Hafen,et al.  Will Democracy Survive Big Data and Artificial Intelligence? , 2017, Towards Digital Enlightenment.

[5]  Pradeep Kumar Singh,et al.  A Comparative Study on Decision-Making Capability Between Human and Artificial Intelligence , 2018 .

[6]  Nick Wilson,et al.  Rapid developments in artificial intelligence: how might the New Zealand government respond? , 2017 .

[7]  Andrea Castillo O'Sullivan,et al.  Artificial Intelligence and Public Policy , 2017 .

[8]  Xiuquan Li,et al.  Artificial Intelligence Technology and Engineering Applications , 2017 .

[9]  Michael A. Osborne,et al.  The future of employment: How susceptible are jobs to computerisation? , 2017 .

[10]  Bernd W. Wirtz,et al.  Business Model Innovation: Development, Concept and Future Research Directions , 2016 .

[11]  D. Power “Big Brother” can watch us , 2016, J. Decis. Syst..

[12]  Peter Parycek,et al.  Big data in the policy cycle: Policy decision making in the digital era , 2016, J. Organ. Comput. Electron. Commer..

[13]  Jean Harris Turning Artificial Intelligence into Business Value , 2016 .

[14]  Artificial Intelligence : Potential Benefits and Ethical Considerations , 2016 .

[15]  Meredith Broussard,et al.  Artificial Intelligence for Investigative Reporting , 2015 .

[16]  Matthew U. Scherer Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies , 2015 .

[17]  Christopher L. Tucci,et al.  Business model innovation , 2014 .

[18]  Young Hoon Kwak,et al.  An Open Government Maturity Model for social media-based public engagement , 2012, Gov. Inf. Q..

[19]  Christopher G. Reddick,et al.  Open government achievement and satisfaction in US federal agencies: survey evidence for the three pillars , 2011 .

[20]  B. Wirtz Business Model Management , 2011 .

[21]  Kadir Çavdar,et al.  Development of a knowledge-based expert system for solving metal cutting problems , 2006 .

[22]  K. Novak,et al.  The guardian , 2003 .

[23]  M. Rossano Artificial Intelligence, Religion, and Community Concern , 2001 .

[24]  Rachel Silcock What is E-government , 2001 .

[25]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[26]  A. Huberman,et al.  Qualitative Data Analysis: A Methods Sourcebook , 1994 .

[27]  J. Zurcher,et al.  Putting artificial intelligence to work , 1993, Proceedings of IEEE International Conference on Control and Applications.

[28]  R. Forsyth Developments in Artificial Intelligence , 1990 .

[29]  Seymour Schoen Putting artificial intelligence to work , 1987 .

[30]  Linda S. Lotto Qualitative Data Analysis: A Sourcebook of New Methods , 1986 .

[31]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[32]  Claire L. Felbinger,et al.  UTILIZATION IN THE POLICY CYCLE: DIRECTIONS FOR RESEARCH* , 1982 .

[33]  P. Thornton,et al.  What Future for Employment , 1979 .

[34]  Nils J. Nilsson,et al.  Artificial Intelligence , 1974, IFIP Congress.